#include <petscvec_kokkos.hpp>
#include <petsc/private/pcimpl.h>
#include <petsc/private/kspimpl.h>
#include <petscksp.h>            /*I "petscksp.h" I*/
#include "petscsection.h"
#include <petscdmcomposite.h>
#include "Kokkos_Core.hpp"

#include <../src/mat/impls/aij/seq/aij.h>
#include <../src/mat/impls/aij/seq/kokkos/aijkok.hpp>

#if defined(PETSC_HAVE_CUDA_NVTX)
#include <nvToolsExt.h>
#endif

#define PCBJKOKKOS_SHARED_LEVEL 0  // 0 is shared, 1 is global
#define PCBJKOKKOS_VEC_SIZE 16
#define PCBJKOKKOS_TEAM_SIZE 16

#define PCBJKOKKOS_VERBOSE_LEVEL 2

typedef Kokkos::DefaultExecutionSpace exec_space;
using layout = Kokkos::LayoutRight;
using IntView            = Kokkos::View<PetscInt**, layout, exec_space>;
using AMatrixValueView   = const Kokkos::View<PetscScalar **, layout, exec_space>;
using XYType             = const Kokkos::View<PetscScalar **, layout, exec_space>;

typedef enum {BATCH_KSP_BICG_IDX,BATCH_KSP_TFQMR_IDX,BATCH_KSP_GMRES_IDX,NUM_BATCH_TYPES} KSPIndex;
typedef struct {
  Vec                                              vec_diag;
  PetscInt                                         nBlocks; /* total number of blocks */
  PetscInt                                         n; // cache host version of d_bid_eqOffset_k[nBlocks]
  KSP                                              ksp; // Used just for options. Should have one for each block
  Kokkos::View<PetscInt*, Kokkos::LayoutRight>     *d_bid_eqOffset_k;
  Kokkos::View<PetscScalar*, Kokkos::LayoutRight>  *d_idiag_k;
  Kokkos::View<PetscInt*>                          *d_isrow_k;
  Kokkos::View<PetscInt*>                          *d_isicol_k;
  KSPIndex                                         ksp_type_idx;
  PetscInt                                         nwork;
  PetscInt                                         const_block_size; // used to decide to use shared memory for work vectors
  PetscInt                                         *dm_Nf;  // Number of fields in each DM
  PetscInt                                         num_dms;
  // diagnostics
  PetscBool                                        reason;
  PetscBool                                        monitor;
  PetscInt                                         batch_target;
  PetscInt                                         nsolves_team;
  PetscInt                                         max_nits;
  // caches
  IntView                                          *rowOffsets;
  IntView                                          *colIndices;
  XYType                                           *batch_b;
  XYType                                           *batch_x;
  AMatrixValueView                                 *batch_values;
} PC_PCBJKOKKOS;

#if defined(PETSC_HAVE_KOKKOS_KERNELS_GMRES)
#include <fstream>

#include "Kokkos_Timer.hpp"
#include "Kokkos_Random.hpp"
#include "Kokkos_UnorderedMap.hpp"
#include "Kokkos_Sort.hpp"

/// KokkosKernels headers
#include "KokkosBatched_Util.hpp"
#include "KokkosBatched_Vector.hpp"

#include <Kokkos_ArithTraits.hpp>
#include <KokkosBatched_Util.hpp>
#include <KokkosBatched_Vector.hpp>
#include <KokkosBatched_Copy_Decl.hpp>
#include <KokkosBatched_Copy_Impl.hpp>
#include <KokkosBatched_AddRadial_Decl.hpp>
#include <KokkosBatched_AddRadial_Impl.hpp>
#include <KokkosBatched_Gemm_Decl.hpp>
#include <KokkosBatched_Gemm_Serial_Impl.hpp>
#include <KokkosBatched_Gemm_Team_Impl.hpp>
#include <KokkosBatched_Gemv_Decl.hpp>
#include <KokkosBatched_Gemv_Serial_Impl.hpp>
#include <KokkosBatched_Gemv_Team_Impl.hpp>
#include <KokkosBatched_Trsm_Decl.hpp>
#include <KokkosBatched_Trsm_Serial_Impl.hpp>
#include <KokkosBatched_Trsm_Team_Impl.hpp>
#include <KokkosBatched_Trsv_Decl.hpp>
#include <KokkosBatched_Trsv_Serial_Impl.hpp>
#include <KokkosBatched_Trsv_Team_Impl.hpp>
#include <KokkosBatched_LU_Decl.hpp>
#include <KokkosBatched_LU_Serial_Impl.hpp>
#include <KokkosBatched_LU_Team_Impl.hpp>
#include <KokkosSparse_CrsMatrix.hpp>
#include "KokkosBatched_Spmv.hpp"
#include "KokkosBatched_CrsMatrix.hpp"
#include "KokkosBatched_Krylov_Handle.hpp"
#include "KokkosBatched_GMRES.hpp"
#include "KokkosBatched_JacobiPrec.hpp"

template <typename DeviceType, typename ValuesViewType, typename IntView,
          typename VectorViewType, typename KrylovHandleType>
struct Functor_TestBatchedTeamVectorGMRES {
  const ValuesViewType _D;
  const ValuesViewType _diag;
  const IntView _r;
  const IntView _c;
  const VectorViewType _X;
  const VectorViewType _B;
  const int _N_team, _team_size, _vector_length;
  const int _N_iteration;
  const double _tol;
  const int _ortho_strategy;
  const int _scratch_pad_level;
  KrylovHandleType _handle;

  KOKKOS_INLINE_FUNCTION
  Functor_TestBatchedTeamVectorGMRES(const ValuesViewType &D, const IntView &r,
                                  const IntView &c, const VectorViewType &X,
                                  const VectorViewType &B, const int N_team,
                                  const int team_size, const int vector_length,
                                  const int N_iteration, const double tol,
                                  const int ortho_strategy,
                                  const int scratch_pad_level, KrylovHandleType &handle)
      : _D(D), _r(r), _c(c), _X(X), _B(B), _N_team(N_team), _team_size(team_size), _vector_length(vector_length),
      _N_iteration(N_iteration), _tol(tol), _ortho_strategy(ortho_strategy), _scratch_pad_level(scratch_pad_level),
      _handle(handle) {
  }

  KOKKOS_INLINE_FUNCTION
  Functor_TestBatchedTeamVectorGMRES(const ValuesViewType &D, const ValuesViewType &diag, const IntView &r,
                                  const IntView &c, const VectorViewType &X,
                                  const VectorViewType &B, const int N_team,
                                  const int team_size, const int vector_length,
                                  const int N_iteration, const double tol,
                                  int ortho_strategy,
                                  const int scratch_pad_level, KrylovHandleType &handle)
      : _D(D), _diag(diag), _r(r), _c(c), _X(X), _B(B), _N_team(N_team), _team_size(team_size), _vector_length(vector_length),
      _N_iteration(N_iteration), _tol(tol), _ortho_strategy(ortho_strategy), _scratch_pad_level(scratch_pad_level),
      _handle(handle) {
  }

  template <typename MemberType>
  KOKKOS_INLINE_FUNCTION void operator()(const MemberType &member) const {
    const int first_matrix = static_cast<int>(member.league_rank()) * _N_team;
    const int N            = _D.extent(0);
    const int last_matrix =
        (static_cast<int>(member.league_rank() + 1) * _N_team < N
             ? static_cast<int>(member.league_rank() + 1) * _N_team
             : N);
    const int graphID = static_cast<int>(member.league_rank());
    using TeamVectorCopy1D = KokkosBatched::TeamVectorCopy<MemberType, KokkosBatched::Trans::NoTranspose, 1>;

    auto d = Kokkos::subview(_D, Kokkos::make_pair(first_matrix, last_matrix),
                             Kokkos::ALL);
    auto x = Kokkos::subview(_X, Kokkos::make_pair(first_matrix, last_matrix),
                             Kokkos::ALL);
    auto b = Kokkos::subview(_B, Kokkos::make_pair(first_matrix, last_matrix),
                             Kokkos::ALL);
    using ScratchPadIntViewType = Kokkos::View<
        typename IntView::non_const_value_type*,
        typename IntView::array_layout,
        typename IntView::execution_space::scratch_memory_space>;
    using ScratchPadValuesViewType = Kokkos::View<
        typename ValuesViewType::non_const_value_type**,
        typename ValuesViewType::array_layout,
        typename ValuesViewType::execution_space::scratch_memory_space>;

    using Operator = KokkosBatched::CrsMatrix<ValuesViewType, ScratchPadIntViewType>;
    ScratchPadIntViewType r(member.team_scratch(1), _r.extent(1));
    ScratchPadIntViewType c(member.team_scratch(1), _c.extent(1));

    TeamVectorCopy1D::invoke(member, Kokkos::subview(_r,graphID, Kokkos::ALL), r);
    TeamVectorCopy1D::invoke(member, Kokkos::subview(_c,graphID, Kokkos::ALL), c);
    Operator A(d, r, c);

    ScratchPadValuesViewType diag(member.team_scratch(1), last_matrix-first_matrix, _diag.extent(1));
    using PrecOperator = KokkosBatched::JacobiPrec<ScratchPadValuesViewType>;

    KokkosBatched::TeamVectorCopy<MemberType>::invoke(member, Kokkos::subview(_diag, Kokkos::make_pair(first_matrix, last_matrix), Kokkos::ALL), diag);
    PrecOperator P(diag);
    P.setComputedInverse();

    KokkosBatched::TeamVectorGMRES<MemberType>::template invoke<Operator, VectorViewType, PrecOperator, KrylovHandleType>(member, A, b, x, P, _handle);
  }
  inline double run(PC pc)
  {
    typedef typename ValuesViewType::value_type value_type;
    std::string name("KokkosBatched::Test::TeamVectorGMRES");
    Kokkos::Timer timer;
    Kokkos::Profiling::pushRegion(name.c_str());

    Kokkos::TeamPolicy<DeviceType> auto_policy(ceil(1.*_D.extent(0) / _N_team), Kokkos::AUTO(), Kokkos::AUTO());
    Kokkos::TeamPolicy<DeviceType> tuned_policy(ceil(1.*_D.extent(0) / _N_team), _team_size, _vector_length);
    Kokkos::TeamPolicy<DeviceType> policy;

    if (_team_size < 1)
      policy = auto_policy;
    else
      policy = tuned_policy;

    _handle.set_max_iteration(_N_iteration);
    _handle.set_tolerance(_tol);
    _handle.set_ortho_strategy(_ortho_strategy);
    _handle.set_scratch_pad_level(_scratch_pad_level);
    _handle.set_compute_last_residual(true);

    int maximum_iteration = _handle.get_max_iteration();

    using ScalarType = typename ValuesViewType::non_const_value_type;
    using Layout     = typename ValuesViewType::array_layout;
    using EXSP       = typename ValuesViewType::execution_space;

    using MagnitudeType =
          typename Kokkos::Details::ArithTraits<ScalarType>::mag_type;

    using ViewType1D = Kokkos::View<MagnitudeType *, Layout, EXSP>;
    using ViewType2D = Kokkos::View<ScalarType **, Layout, EXSP>;
    using ViewType3D = Kokkos::View<ScalarType ***, Layout, EXSP>;
    using IntViewType1D = Kokkos::View<PetscInt *, Layout, EXSP>;

    size_t bytes_1D = ViewType2D::shmem_size(_N_team, 1);
    size_t bytes_row_ptr = IntViewType1D::shmem_size(_r.extent(1));
    size_t bytes_col_idc = IntViewType1D::shmem_size(_c.extent(1));
    size_t bytes_2D_1 = ViewType2D::shmem_size(_N_team, _X.extent(1));
    size_t bytes_2D_2 = ViewType2D::shmem_size(_N_team, maximum_iteration+1);

    size_t bytes_diag = bytes_2D_1;
    size_t bytes_tmp = 2 * bytes_2D_1 + 2 * bytes_1D + bytes_2D_2;

    policy.set_scratch_size(0, Kokkos::PerTeam(bytes_tmp));
    policy.set_scratch_size(1, Kokkos::PerTeam(bytes_col_idc + bytes_row_ptr + bytes_diag));
    PetscInfo(pc,"%d scratch memory(0) = %d + %d + %d bytes_diag=%d; %d scratch memory(1); %d maximum_iterations\n",
              (int)(bytes_tmp), 2 * (int)bytes_2D_1, 2 * (int)bytes_1D, (int)bytes_2D_2, (int)bytes_diag, (int)(bytes_row_ptr+bytes_col_idc+bytes_diag), (int)maximum_iteration);
    exec_space().fence();
    timer.reset();
    Kokkos::parallel_for(name.c_str(), policy, *this);
    exec_space().fence();
    double sec = timer.seconds();

    return sec;
  }
};
#endif  // KK GMRES

typedef Kokkos::TeamPolicy<>::member_type team_member;

static PetscErrorCode  PCBJKOKKOSCreateKSP_BJKOKKOS(PC pc)
{
  const char    *prefix;
  PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data;
  DM             dm;

  PetscFunctionBegin;
  PetscCall(KSPCreate(PetscObjectComm((PetscObject)pc),&jac->ksp));
  PetscCall(KSPSetErrorIfNotConverged(jac->ksp,pc->erroriffailure));
  PetscCall(PetscObjectIncrementTabLevel((PetscObject)jac->ksp,(PetscObject)pc,1));
  PetscCall(PCGetOptionsPrefix(pc,&prefix));
  PetscCall(KSPSetOptionsPrefix(jac->ksp,prefix));
  PetscCall(KSPAppendOptionsPrefix(jac->ksp,"pc_bjkokkos_"));
  PetscCall(PCGetDM(pc,&dm));
  if (dm) {
    PetscCall(KSPSetDM(jac->ksp, dm));
    PetscCall(KSPSetDMActive(jac->ksp, PETSC_FALSE));
  }
  jac->reason       = PETSC_FALSE;
  jac->monitor      = PETSC_FALSE;
  jac->batch_target = -1;
  jac->nsolves_team = 1;
  jac->ksp->max_it = 50; // this is realy for GMRES w/o restarts
  PetscFunctionReturn(0);
}

// y <-- Ax
KOKKOS_INLINE_FUNCTION PetscErrorCode MatMult(const team_member team,  const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, const PetscInt start, const PetscInt end, const PetscScalar *x_loc, PetscScalar *y_loc)
{
  Kokkos::parallel_for(Kokkos::TeamThreadRange(team,start,end), [=] (const int rowb) {
      int rowa = ic[rowb];
      int n = glb_Aai[rowa+1] - glb_Aai[rowa];
      const PetscInt    *aj  = glb_Aaj + glb_Aai[rowa];
      const PetscScalar *aa  = glb_Aaa + glb_Aai[rowa];
      PetscScalar sum;
      Kokkos::parallel_reduce(Kokkos::ThreadVectorRange (team, n), [=] (const int i, PetscScalar& lsum) {
          lsum += aa[i] * x_loc[r[aj[i]]-start];
        }, sum);
      Kokkos::single(Kokkos::PerThread (team),[=]() {y_loc[rowb-start] = sum;});
    });
  team.team_barrier();
  return 0;
}

// temp buffer per thread with reduction at end?
KOKKOS_INLINE_FUNCTION PetscErrorCode MatMultTranspose(const team_member team, const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, const PetscInt start, const PetscInt end, const PetscScalar *x_loc, PetscScalar *y_loc)
{
  Kokkos::parallel_for(Kokkos::TeamVectorRange(team,end-start), [=] (int i) { y_loc[i] = 0;});
  team.team_barrier();
  Kokkos::parallel_for(Kokkos::TeamThreadRange(team,start,end), [=] (const int rowb) {
      int rowa = ic[rowb];
      int n = glb_Aai[rowa+1] - glb_Aai[rowa];
      const PetscInt    *aj  = glb_Aaj + glb_Aai[rowa];
      const PetscScalar *aa  = glb_Aaa + glb_Aai[rowa];
      const PetscScalar xx = x_loc[rowb-start]; // rowb = ic[rowa] = ic[r[rowb]]
      Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,n), [=] (const int &i) {
          PetscScalar val = aa[i] * xx;
          Kokkos::atomic_fetch_add(&y_loc[r[aj[i]]-start], val);
        });
    });
  team.team_barrier();
  return 0;
}

typedef struct Batch_MetaData_TAG
{
  PetscInt           flops;
  PetscInt           its;
  KSPConvergedReason reason;
}Batch_MetaData;

// Solve A(BB^-1)x = y with TFQMR. Right preconditioned to get un-preconditioned residual
KOKKOS_INLINE_FUNCTION PetscErrorCode BJSolve_TFQMR(const team_member team, const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, PetscScalar *work_space_global, const int stride_global,  const int nShareVec, PetscScalar *work_space_shared, const int stride_shared, PetscReal rtol, PetscReal atol, PetscReal dtol,PetscInt maxit, Batch_MetaData *metad, const PetscInt start, const PetscInt end, const PetscScalar glb_idiag[], const PetscScalar *glb_b, PetscScalar *glb_x, bool monitor)
{
  using Kokkos::parallel_reduce;
  using Kokkos::parallel_for;
  int               Nblk = end-start, i,m, stride = stride_shared, idx=0;
  PetscReal         dp,dpold,w,dpest,tau,psi,cm,r0;
  const PetscScalar *Diag = &glb_idiag[start];
  PetscScalar       *ptr = work_space_shared, rho,rhoold,a,s,b,eta,etaold,psiold,cf,dpi;

  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *XX = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *R = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *RP = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *V = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *T = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *Q = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *P = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *U = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *D = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *AUQ = V;

  // init: get b, zero x
  parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) {
      int rowa = ic[rowb];
      R[rowb-start] = glb_b[rowa];
      XX[rowb-start] = 0;
    });
  team.team_barrier();
  parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += R[idx]*PetscConj(R[idx]);}, dpi);
  team.team_barrier();
  r0 = dp = PetscSqrtReal(PetscRealPart(dpi));
  // diagnostics
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
  if (monitor) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", 0, (double)dp);});
#endif
  if (dp < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; return 0;}
  if (0 == maxit) {metad->reason = KSP_DIVERGED_ITS; return 0;}

  /* Make the initial Rp = R */
  parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {RP[idx] = R[idx];});
  team.team_barrier();
  /* Set the initial conditions */
  etaold = 0.0;
  psiold = 0.0;
  tau    = dp;
  dpold  = dp;

  /* rhoold = (r,rp)     */
  parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += R[idx]*PetscConj(RP[idx]);}, rhoold);
  team.team_barrier();
  parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {U[idx] = R[idx]; P[idx] = R[idx]; T[idx] = Diag[idx]*P[idx]; D[idx] = 0;});
  team.team_barrier();
  MatMult         (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,T,V);

  i=0;
  do {
    /* s <- (v,rp)          */
    parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += V[idx]*PetscConj(RP[idx]);}, s);
    team.team_barrier();
    a    = rhoold / s;                              /* a <- rho / s         */
    /* q <- u - a v    VecWAXPY(w,alpha,x,y): w = alpha x + y.     */
    /* t <- u + q           */
    parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Q[idx] = U[idx] - a*V[idx]; T[idx] = U[idx] + Q[idx];});
    team.team_barrier();
    // KSP_PCApplyBAorAB
    parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {T[idx] = Diag[idx]*T[idx]; });
    team.team_barrier();
    MatMult         (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,T,AUQ);
    /* r <- r - a K (u + q) */
    parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {R[idx] = R[idx] - a*AUQ[idx]; });
    team.team_barrier();
    parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += R[idx]*PetscConj(R[idx]);}, dpi);
    team.team_barrier();
    dp = PetscSqrtReal(PetscRealPart(dpi));
    for (m=0; m<2; m++) {
      if (!m) w = PetscSqrtReal(dp*dpold);
      else w = dp;
      psi = w / tau;
      cm  = 1.0 / PetscSqrtReal(1.0 + psi * psi);
      tau = tau * psi * cm;
      eta = cm * cm * a;
      cf  = psiold * psiold * etaold / a;
      if (!m) {
        /* D = U + cf D */
        parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {D[idx] = U[idx] + cf*D[idx]; });
      } else {
        /* D = Q + cf D */
        parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {D[idx] = Q[idx] + cf*D[idx]; });
      }
      team.team_barrier();
      parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {XX[idx] = XX[idx] + eta*D[idx]; });
      team.team_barrier();
      dpest = PetscSqrtReal(2*i + m + 2.0) * tau;
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
      if (monitor && m==1) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", i+1, (double)dpest);});
#endif
      if (dpest < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; goto done;}
      if (dpest/r0 < rtol) {metad->reason = KSP_CONVERGED_RTOL_NORMAL; goto done;}
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
      if (dpest/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; Kokkos::single (Kokkos::PerTeam (team), [=] () {printf("ERROR block %d diverged: %d it, res=%e, r_0=%e\n",team.league_rank(),i,dpest,r0);}); goto done;}
#else
      if (dpest/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; goto done;}
#endif
      if (i+1 == maxit) {metad->reason = KSP_DIVERGED_ITS; goto done;}

      etaold = eta;
      psiold = psi;
    }

    /* rho <- (r,rp)       */
    parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += R[idx]*PetscConj(RP[idx]);}, rho);
    team.team_barrier();
    b    = rho / rhoold;                            /* b <- rho / rhoold   */
    /* u <- r + b q        */
    /* p <- u + b(q + b p) */
    parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {U[idx] = R[idx] + b*Q[idx]; Q[idx] = Q[idx] + b*P[idx]; P[idx] = U[idx] + b*Q[idx];});
    /* v <- K p  */
    team.team_barrier();
    parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {T[idx] = Diag[idx]*P[idx]; });
    team.team_barrier();
    MatMult         (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,T,V);

    rhoold = rho;
    dpold  = dp;

    i++;
  } while (i<maxit);
  done:
  // KSPUnwindPreconditioner
  parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {XX[idx] = Diag[idx]*XX[idx]; });
  team.team_barrier();
  // put x into Plex order
  parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) {
      int rowa = ic[rowb];
      glb_x[rowa] = XX[rowb-start];
    });
  metad->its = i+1;
  if (1) {
    int nnz;
    parallel_reduce(Kokkos::TeamVectorRange (team, start, end), [=] (const int idx, int& lsum) {lsum += (glb_Aai[idx+1] - glb_Aai[idx]);}, nnz);
    metad->flops = 2*(metad->its*(10*Nblk + 2*nnz) + 5*Nblk);
  } else {
    metad->flops = 2*(metad->its*(10*Nblk + 2*50*Nblk) + 5*Nblk); // guess
  }
  return 0;
}

// Solve Ax = y with biCG
KOKKOS_INLINE_FUNCTION PetscErrorCode BJSolve_BICG(const team_member team, const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, PetscScalar *work_space_global, const int stride_global, const int nShareVec, PetscScalar *work_space_shared, const int stride_shared, PetscReal rtol, PetscReal atol, PetscReal dtol,PetscInt maxit, Batch_MetaData *metad, const PetscInt start, const PetscInt end, const PetscScalar glb_idiag[], const PetscScalar *glb_b, PetscScalar *glb_x, bool monitor)
{
  using Kokkos::parallel_reduce;
  using Kokkos::parallel_for;
  int               Nblk = end-start, i, stride = stride_shared, idx=0; // start in shared mem
  PetscReal         dp, r0;
  const PetscScalar *Di = &glb_idiag[start];
  PetscScalar       *ptr = work_space_shared, dpi, a=1.0, beta, betaold=1.0, b, b2, ma, mac;

  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *XX = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *Rl = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *Zl = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *Pl = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *Rr = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *Zr = ptr; ptr += stride;
  if (idx++ == nShareVec) {ptr = work_space_global; stride = stride_global;}
  PetscScalar       *Pr = ptr; ptr += stride;

  /*     r <- b (x is 0) */
  parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) {
      int rowa = ic[rowb];
      //PetscCall(VecCopy(Rr,Rl));
      Rl[rowb-start] = Rr[rowb-start] = glb_b[rowa];
      XX[rowb-start] = 0;
    });
  team.team_barrier();
  /*     z <- Br         */
  parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Zr[idx] = Di[idx]*Rr[idx]; Zl[idx] = Di[idx]*Rl[idx]; });
  team.team_barrier();
  /*    dp <- r'*r       */
  parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += Rr[idx]*PetscConj(Rr[idx]);}, dpi);
  team.team_barrier();
  r0 = dp = PetscSqrtReal(PetscRealPart(dpi));
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
  if (monitor) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", 0, (double)dp);});
#endif
  if (dp < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; return 0;}
  if (0 == maxit) {metad->reason = KSP_DIVERGED_ITS; return 0;}
  i = 0;
  do {
    /*     beta <- r'z     */
    parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += Zr[idx]*PetscConj(Rl[idx]);}, beta);
    team.team_barrier();
#if PCBJKOKKOS_VERBOSE_LEVEL >= 6
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
    Kokkos::single (Kokkos::PerTeam (team), [=] () {printf("%7d beta = Z.R = %22.14e \n",i,(double)beta);});
#endif
#endif
    if (!i) {
      if (beta == 0.0) {
        metad->reason = KSP_DIVERGED_BREAKDOWN_BICG;
        goto done;
      }
      /*     p <- z          */
      parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Pr[idx] = Zr[idx]; Pl[idx] = Zl[idx];});
    } else {
      b    = beta/betaold;
      /*     p <- z + b* p   */
      b2    = PetscConj(b);
      parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Pr[idx] = b*Pr[idx] + Zr[idx]; Pl[idx] = b2*Pl[idx] + Zl[idx];});
    }
    team.team_barrier();
    betaold = beta;
    /*     z <- Kp         */
    MatMult         (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,Pr,Zr);
    MatMultTranspose(team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,Pl,Zl);
    /*     dpi <- z'p      */
    parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += Zr[idx]*PetscConj(Pl[idx]);}, dpi);
    team.team_barrier();
    //
    a       = beta/dpi;                           /*     a = beta/p'z    */
    ma      = -a;
    mac      = PetscConj(ma);
    /*     x <- x + ap     */
    parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {XX[idx] = XX[idx] + a*Pr[idx]; Rr[idx] = Rr[idx] + ma*Zr[idx]; Rl[idx] = Rl[idx] + mac*Zl[idx];});team.team_barrier();
    team.team_barrier();
    /*    dp <- r'*r       */
    parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum +=  Rr[idx]*PetscConj(Rr[idx]);}, dpi);
    team.team_barrier();
    dp = PetscSqrtReal(PetscRealPart(dpi));
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
    if (monitor) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", i+1, (double)dp);});
#endif
    if (dp < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; goto done;}
    if (dp/r0 < rtol) {metad->reason = KSP_CONVERGED_RTOL_NORMAL; goto done;}
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
    if (dp/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; Kokkos::single (Kokkos::PerTeam (team), [=] () {printf("ERROR block %d diverged: %d it, res=%e, r_0=%e\n",team.league_rank(),i,dp,r0);}); goto done;}
#else
    if (dp/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; goto done;}
#endif
    if (i+1 == maxit) {metad->reason = KSP_DIVERGED_ITS; goto done;}
    /* z <- Br  */
    parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Zr[idx] = Di[idx]*Rr[idx]; Zl[idx] = Di[idx]*Rl[idx];});
    i++;
    team.team_barrier();
  } while (i<maxit);
 done:
  // put x back into Plex order
  parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) {
      int rowa = ic[rowb];
      glb_x[rowa] = XX[rowb-start];
    });
  metad->its = i+1;
  if (1) {
    int nnz;
    parallel_reduce(Kokkos::TeamVectorRange (team, start, end), [=] (const int idx, int& lsum) {lsum += (glb_Aai[idx+1] - glb_Aai[idx]);}, nnz);
    metad->flops = 2*(metad->its*(10*Nblk + 2*nnz) + 5*Nblk);
  } else {
    metad->flops = 2*(metad->its*(10*Nblk + 2*50*Nblk) + 5*Nblk); // guess
  }
  return 0;
}

// KSP solver solve Ax = b; x is output, bin is input
static PetscErrorCode PCApply_BJKOKKOS(PC pc,Vec bin,Vec xout)
{
  PC_PCBJKOKKOS    *jac = (PC_PCBJKOKKOS*)pc->data;
  Mat               A   = pc->pmat;
  Mat_SeqAIJKokkos *aijkok;

  PetscFunctionBegin;
  PetscCheck(jac->vec_diag && A,PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"Not setup???? %p %p",jac->vec_diag,A);
  aijkok = static_cast<Mat_SeqAIJKokkos*>(A->spptr);
  if (!aijkok) {
    SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"No aijkok");
  } else {
    PetscInt          maxit = jac->ksp->max_it;
    const PetscInt    conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp==0 && PCBJKOKKOS_VEC_SIZE != 1) ? PCBJKOKKOS_TEAM_SIZE : 1;
    const PetscInt    nwork = jac->nwork, nBlk = jac->nBlocks;
    PetscScalar       *glb_xdata=NULL;
    PetscReal         rtol = jac->ksp->rtol, atol = jac->ksp->abstol, dtol = jac->ksp->divtol;
    const PetscScalar *glb_idiag =jac->d_idiag_k->data(), *glb_bdata=NULL;
    const PetscInt    *glb_Aai = aijkok->i_device_data(), *glb_Aaj = aijkok->j_device_data(), *d_bid_eqOffset = jac->d_bid_eqOffset_k->data();
    const PetscScalar *glb_Aaa = aijkok->a_device_data();
    const PetscInt    *d_isicol = jac->d_isicol_k->data(), *d_isrow = jac->d_isrow_k->data();
    PCFailedReason    pcreason;
    KSPIndex          ksp_type_idx = jac->ksp_type_idx;
    PetscMemType      mtype;
    PetscContainer    container;
    PetscInt          batch_sz;
    VecScatter        plex_batch=NULL; // not used
    Vec               bvec; // a copy of b for scatter (just alias to bin now)
    PetscBool         monitor = jac->monitor; // captured
    PetscInt          view_bid = jac->batch_target;
    MatInfo           info;
    jac->max_nits = 0;
    if (view_bid<0) view_bid = 0;
    PetscCall(MatGetInfo(A,MAT_LOCAL,&info));
    // get field major is to map plex IO to/from block/field major
    PetscCall(PetscObjectQuery((PetscObject) A, "plex_batch_is", (PetscObject *) &container));
    if (container) {
      PetscCall(VecDuplicate(bin,&bvec));
      PetscCall(PetscContainerGetPointer(container, (void **) &plex_batch));
      PetscCall(VecScatterBegin(plex_batch,bin,bvec,INSERT_VALUES,SCATTER_FORWARD));
      PetscCall(VecScatterEnd(plex_batch,bin,bvec,INSERT_VALUES,SCATTER_FORWARD));
      SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"No plex_batch_is -- require NO field major ordering for now");
    } else {
      bvec = bin;
    }
    // get x
    PetscCall(VecGetArrayAndMemType(xout,&glb_xdata,&mtype));
#if defined(PETSC_HAVE_CUDA)
    PetscCheck(PetscMemTypeDevice(mtype),PetscObjectComm((PetscObject) pc),PETSC_ERR_ARG_WRONG,"No GPU data for x %" PetscInt_FMT " != %" PetscInt_FMT,mtype,PETSC_MEMTYPE_DEVICE);
#endif
    PetscCall(VecGetArrayReadAndMemType(bvec,&glb_bdata,&mtype));
#if defined(PETSC_HAVE_CUDA)
    PetscCheck(PetscMemTypeDevice(mtype),PetscObjectComm((PetscObject) pc),PETSC_ERR_ARG_WRONG,"No GPU data for b");
#endif
    // get batch size
    PetscCall(PetscObjectQuery((PetscObject) A, "batch size", (PetscObject *) &container));
    if (container) {
      PetscInt *pNf=NULL;
      PetscCall(PetscContainerGetPointer(container, (void **) &pNf));
      batch_sz = *pNf;
    } else batch_sz = 1;
    PetscCheck(nBlk%batch_sz==0,PetscObjectComm((PetscObject) pc),PETSC_ERR_ARG_WRONG,"batch_sz = %" PetscInt_FMT ", nBlk = %" PetscInt_FMT,batch_sz,nBlk);
    if (ksp_type_idx==BATCH_KSP_GMRES_IDX) { // KK solver - move PETSc data into Kokkos Views, setup solver, solve, move data out of Kokkos, process metadata (convergence tests, etc.)
#if defined(PETSC_HAVE_KOKKOS_KERNELS_GMRES)
      int Nsolves_team = jac->nsolves_team, fill_idx=0;
      int Nloc = jac->const_block_size; // same grids
      const int Nsolves = nBlk;
      const int nnz = (int)info.nz_used / Nsolves; // fix for variable grid size
      if (Nsolves_team > batch_sz) Nsolves_team = batch_sz; // silently fix this
      PetscCheck(jac->const_block_size,PetscObjectComm((PetscObject) pc),PETSC_ERR_ARG_WRONG,"Kokkos (GMRES) solver requires constant block size (but can be made to work with species ordering or N_team==1)");
      PetscCheck(Nsolves%Nsolves_team==0, PetscObjectComm((PetscObject) pc), PETSC_ERR_ARG_WRONG, "Nsolves.mod(Nsolves_team) != 0: Nsolves = %d, Nsolves_team = %d", Nsolves, Nsolves_team);
      PetscCheck(((int)info.nz_used)%Nsolves==0, PetscObjectComm((PetscObject) pc), PETSC_ERR_ARG_WRONG, "info.nz_used.mod(Nsolves) != 0: info.nz_used = %g, Nsolves = %d", info.nz_used, Nsolves);
#if defined(PETSC_HAVE_CUDA_NVTX)
      nvtxRangePushA("gmres-kk");
#endif
      Kokkos::View<PetscScalar **, layout, exec_space, Kokkos::MemoryTraits<Kokkos::Unmanaged>> inv_diag((PetscScalar*)glb_idiag, Nsolves, Nloc); // in correct order
      if (!jac->rowOffsets) {
        jac->rowOffsets          = new IntView("rowOffsets", Nsolves/Nsolves_team, Nloc+1);    // same grids
        jac->colIndices          = new IntView("colIndices", Nsolves/Nsolves_team, nnz);
        jac->batch_b             = new XYType("batch rhs", Nsolves, Nloc);
        jac->batch_x             = new XYType("batch sol", Nsolves, Nloc);
        jac->batch_values        = new AMatrixValueView("batch values", Nsolves, nnz);
        fill_idx = 1;
        PetscInfo(pc,"Setup indices Nloc=%d, nnz=%d\n",Nloc,nnz);
      }
      IntView &rowOffsets = *jac->rowOffsets;
      IntView &colIndices = *jac->colIndices;
      XYType &batch_b = *jac->batch_b;
      XYType &batch_x = *jac->batch_x;
      AMatrixValueView &batch_values = *jac->batch_values;

      Kokkos::deep_copy(batch_x, 0.);
      PetscInfo(pc,"\tjac->n = %" PetscInt_FMT ", Nloc = %d, Nsolves = %d, nnz = %d, Nsolves_team = %d, league size = %d, maxit = %" PetscInt_FMT "\n",jac->n,Nloc,Nsolves,nnz,Nsolves_team,Nsolves/Nsolves_team,maxit);
      Kokkos::parallel_for
        ("rowOffsets+map", Kokkos::TeamPolicy<>(Nsolves, team_size, PCBJKOKKOS_VEC_SIZE),
         KOKKOS_LAMBDA (const team_member team) {
          const int blkID = team.league_rank(), start = d_bid_eqOffset[blkID], end = d_bid_eqOffset[blkID+1];
          if (fill_idx) {
            if (blkID%Nsolves_team == 0) { // first matrix on this member
              Kokkos::parallel_for(Kokkos::TeamVectorRange(team,start,end), [=] (const int rowb) { // Nloc
                  int rowa = d_isicol[rowb];
                  int n    = glb_Aai[rowa+1] - glb_Aai[rowa];
                  rowOffsets(blkID/Nsolves_team,rowb+1-start) = n; // save sizes
                });
            }
          }
          // map b into field major space
          Kokkos::parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) {
              int rowa = d_isicol[rowb];
              batch_b(blkID, rowb-start) = glb_bdata[rowa];
            });
        });
      Kokkos::fence();
      if (fill_idx) {
        Kokkos::parallel_for
          ("prefix sum", Kokkos::TeamPolicy<>(Nsolves/Nsolves_team, 1, 1),
           KOKKOS_LAMBDA (const team_member team) {
            const int graphID = team.league_rank();
            rowOffsets(graphID,0) = 0;
            for (size_t i = 0; i < Nloc; ++i) rowOffsets(graphID,i+1) += rowOffsets(graphID,i);
          });
        Kokkos::fence();
      }
      Kokkos::parallel_for
        ("copy matrix", Kokkos::TeamPolicy<>(Nsolves /* /batch_sz */, team_size, PCBJKOKKOS_VEC_SIZE),
         KOKKOS_LAMBDA (const team_member team) {
          const int blkID = team.league_rank(), start = d_bid_eqOffset[blkID], end = d_bid_eqOffset[blkID+1], graphID = blkID/Nsolves_team;
          Kokkos::parallel_for(Kokkos::TeamThreadRange(team,start,end), [=] (const int rowb) {
              int rowa = d_isicol[rowb]; // global index
              int n    = glb_Aai[rowa+1] - glb_Aai[rowa];
              const PetscInt    *aj = glb_Aaj + glb_Aai[rowa];
              const PetscScalar *aa = glb_Aaa + glb_Aai[rowa];
              Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,n), [=] (const int &i) {
                  PetscScalar val  = aa[i];
                  if (fill_idx && blkID%Nsolves_team==0) colIndices(graphID, rowOffsets(graphID,rowb-start) + i) = d_isrow[aj[i]] - blkID*Nloc; // local" global - block start
                  batch_values(                                     blkID,   rowOffsets(graphID,rowb-start) + i) = val;
                });
            });
        });
      Kokkos::fence();
      // setup solver
      using ScalarType = typename AMatrixValueView::non_const_value_type;
      using MagnitudeType = typename Kokkos::Details::ArithTraits<ScalarType>::mag_type;
      using NormViewType = Kokkos::View<MagnitudeType *, layout, exec_space>;
      using Norm2DViewType = Kokkos::View<MagnitudeType **, layout, exec_space>;
      using Scalar3DViewType = Kokkos::View<ScalarType ***, layout, exec_space>;
      using IntViewType = Kokkos::View<int*, layout, exec_space>;
      using KrylovHandleType = KokkosBatched::KrylovHandle<Norm2DViewType, IntViewType, Scalar3DViewType>;
      const int n_iterations = maxit;
      const int team_size = -1;
      const int vector_length = -1;
      const double tol = rtol;
      const int ortho_strategy = 0;
      KrylovHandleType handle(Nsolves, Nsolves_team, n_iterations, true);
      handle.Arnoldi_view = Scalar3DViewType("", Nsolves, n_iterations, Nloc+n_iterations+3);
      // solve
      double time = Functor_TestBatchedTeamVectorGMRES<exec_space, AMatrixValueView, IntView, XYType, KrylovHandleType>
        (batch_values, inv_diag, rowOffsets, colIndices, batch_x, batch_b, Nsolves_team, team_size, vector_length, n_iterations, tol, ortho_strategy, 0, handle).run(pc);
      Kokkos::fence();
      // get data back
      Kokkos::parallel_for
        ("map", Kokkos::TeamPolicy<>(Nsolves /* /batch_sz */, team_size, PCBJKOKKOS_VEC_SIZE),
         KOKKOS_LAMBDA (const team_member team) {
          const int blkID = team.league_rank(), start = d_bid_eqOffset[blkID], end = d_bid_eqOffset[blkID+1]; // 0
          // map x into Plex/PETSc
          Kokkos::parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) {
              int rowa = d_isicol[rowb];
              glb_xdata[rowa] = batch_x(blkID, rowb-start);
            });
        });
      // output assume species major - clone from Kokkos solvers
#if PCBJKOKKOS_VERBOSE_LEVEL >= 3
#if PCBJKOKKOS_VERBOSE_LEVEL >= 4
      PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"Iterations\n"));
#else
      PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"max iterations per species (gmres) :"));
#endif
      for (PetscInt dmIdx=0, s=0, head=0 ; dmIdx < jac->num_dms; dmIdx += batch_sz) {
        for (PetscInt f=0, idx=head ; f < jac->dm_Nf[dmIdx] ; f++,s++,idx++) {
#if PCBJKOKKOS_VERBOSE_LEVEL >= 4
          PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"%2D:", s));
          for (int bid=0 ; bid<batch_sz ; bid++) {
            PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"%3D ", handle.get_iteration_host(idx + bid*jac->dm_Nf[dmIdx])));
          }
          PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"\n"));
#else
          int count=0, ii;
          for (int bid=0 ; bid<batch_sz ; bid++) {
            if ((ii=handle.get_iteration_host(idx + bid*jac->dm_Nf[dmIdx])) > count) count = ii;
          }
          PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"%3d", count));
#endif
        }
        head += batch_sz*jac->dm_Nf[dmIdx];
      }
#if PCBJKOKKOS_VERBOSE_LEVEL == 3
      PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"\n"));
#endif
#endif
      // return error code, get max it
      PetscInt count=0, mbid=0;
      if (handle.is_converged_host()) {
        pcreason = PC_NOERROR;
        if (!jac->max_nits) {
          for (int blkID=0;blkID<nBlk;blkID++) {
            if (handle.get_iteration_host(blkID) > jac->max_nits) {
              jac->max_nits = handle.get_iteration_host(blkID);
              mbid = blkID;
            }
          }
        }
      } else {
        PetscCall(PetscPrintf(PETSC_COMM_SELF,"There is at least one system that did not converge."));
        pcreason = PC_SUBPC_ERROR;
      }
      // output - assume species major order
      for (int blkID=0;blkID<nBlk;blkID++) {
        if (jac->reason) { // -pc_bjkokkos_ksp_converged_reason
          if (jac->batch_target==blkID) {
            PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),  "    Linear solve %s in %d iterations, batch %" PetscInt_FMT ", species %" PetscInt_FMT "\n", handle.is_converged_host(blkID) ? "converged" : "diverged", handle.get_iteration_host(blkID), blkID%batch_sz, blkID/batch_sz));
          } else if (jac->batch_target==-1 && handle.get_iteration_host(blkID) > count) {
            jac->max_nits = count = handle.get_iteration_host(blkID);
            mbid = blkID;
          }
          if (!handle.is_converged_host(blkID)) {
            PetscCall(PetscPrintf(PETSC_COMM_SELF,"ERROR species %d, batch %d did not converge with %d iterations\n",(int)(blkID/batch_sz),(int)blkID%batch_sz,handle.get_iteration_host(blkID)));
          }
        }
      }
      if (jac->batch_target==-1 && jac->reason) {
        PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),  "    Linear solve %s in %d iteration, batch %" PetscInt_FMT ", specie %" PetscInt_FMT "\n", handle.is_converged_host(mbid) ? "converged" : "diverged",jac->max_nits,mbid%batch_sz,mbid/batch_sz));
      }
#if defined(PETSC_HAVE_CUDA_NVTX)
      nvtxRangePop();
#endif
#else
      SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"batch GMRES not supported");
#endif
    } else { // Kokkos Krylov
      using scr_mem_t  = Kokkos::DefaultExecutionSpace::scratch_memory_space;
      using vect2D_scr_t = Kokkos::View<PetscScalar**, Kokkos::LayoutLeft, scr_mem_t>;
      Kokkos::View<Batch_MetaData*, Kokkos::DefaultExecutionSpace> d_metadata("solver meta data", nBlk);
      int stride_shared, stride_global, global_buff_words;
      d_bid_eqOffset = jac->d_bid_eqOffset_k->data();
      // solve each block independently
      int scr_bytes_team_shared = 0, nShareVec = 0, nGlobBVec = 0;
      if (jac->const_block_size) { // use shared memory for work vectors only if constant block size - todo: test efficiency loss
        int maximum_shared_mem_size;
        stride_shared = jac->const_block_size; // captured
#if defined(PETSC_HAVE_CUDA)
        int device;
        cudaError_t ier = cudaGetDevice(&device);
        ier = cudaDeviceGetAttribute(&maximum_shared_mem_size, cudaDevAttrMaxSharedMemoryPerBlock, device);
#elif defined(PETSC_HAVE_HIP)
        int device;
        hipGetDevice(&device);
        hipDeviceGetAttribute(&maximum_shared_mem_size, hipDeviceAttributeMaxSharedMemoryPerBlock, device);
#elif defined(PETSC_HAVE_SYCL)
        maximum_shared_mem_size = 64000;
#else
        maximum_shared_mem_size = 72000;
#endif
        nShareVec = maximum_shared_mem_size / (jac->const_block_size*sizeof(PetscScalar)); // integer floor, number of vectors that fit in shared
        if (nShareVec > nwork) nShareVec = nwork;
        else nGlobBVec = nwork - nShareVec;
        global_buff_words = jac->n*nGlobBVec;
        scr_bytes_team_shared = jac->const_block_size*nShareVec*sizeof(PetscScalar);
        //PetscCall(PetscPrintf(PETSC_COMM_WORLD,"maximum_shared_mem_size=%d scr_bytes_shared=%d nShareVec=%d, nGlobBVec=%d vec size=%d jac->const_block_size=%d\n",maximum_shared_mem_size,scr_bytes_team_shared,nShareVec,nGlobBVec,jac->const_block_size*sizeof(PetscScalar),jac->const_block_size));
      } else {
        scr_bytes_team_shared = 0;
        stride_shared = 0;
        global_buff_words = jac->n*nwork;
        nGlobBVec = nwork; // not needed == fix
      }
      stride_global = jac->n; // captured
#if defined(PETSC_HAVE_CUDA_NVTX)
      nvtxRangePushA("batch-kokkos-solve");
#endif
      Kokkos::View<PetscScalar*, Kokkos::DefaultExecutionSpace> d_work_vecs_k("workvectors", global_buff_words); // global work vectors
      PetscInfo(pc,"\tn = %d. %d shared bytes/team, %d global mem bytes, rtol=%e, num blocks %d, team_size=%d, %d vector threads, %d shared vectors, %d global vectors\n",(int)jac->n, scr_bytes_team_shared, global_buff_words, rtol, (int)nBlk, (int)team_size, PCBJKOKKOS_VEC_SIZE,nShareVec,nGlobBVec);
      PetscScalar  *d_work_vecs = d_work_vecs_k.data();
      Kokkos::parallel_for
        ("Solve", Kokkos::TeamPolicy< Kokkos::LaunchBounds<256,4> >(nBlk, team_size, PCBJKOKKOS_VEC_SIZE).set_scratch_size(PCBJKOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes_team_shared)),
         KOKKOS_LAMBDA (const team_member team) {
          const int    blkID = team.league_rank(), start = d_bid_eqOffset[blkID], end = d_bid_eqOffset[blkID+1];
          vect2D_scr_t work_vecs_shared(team.team_scratch(PCBJKOKKOS_SHARED_LEVEL), end-start, nShareVec);
          PetscScalar  *work_buff_shared = work_vecs_shared.data();
          PetscScalar  *work_buff_global = &d_work_vecs[start]; // start inc'ed in
          bool         print = monitor && (blkID==view_bid);
          switch (ksp_type_idx) {
          case BATCH_KSP_BICG_IDX:
            BJSolve_BICG(team, glb_Aai, glb_Aaj, glb_Aaa, d_isrow, d_isicol, work_buff_global, stride_global, nShareVec, work_buff_shared, stride_shared, rtol, atol, dtol, maxit, &d_metadata[blkID], start, end, glb_idiag, glb_bdata, glb_xdata, print);
            break;
          case BATCH_KSP_TFQMR_IDX:
            BJSolve_TFQMR(team, glb_Aai, glb_Aaj, glb_Aaa, d_isrow, d_isicol,work_buff_global, stride_global, nShareVec, work_buff_shared, stride_shared, rtol, atol, dtol, maxit, &d_metadata[blkID], start, end, glb_idiag, glb_bdata, glb_xdata, print);
            break;
          case BATCH_KSP_GMRES_IDX:
            //BJSolve_GMRES();
            break;
          default:
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
            printf("Unknown KSP type %d\n",ksp_type_idx);
#else
            /* void */;
#endif
          }
        });
      Kokkos::fence();
#if defined(PETSC_HAVE_CUDA_NVTX)
      nvtxRangePop();
      nvtxRangePushA("Post-solve-metadata");
#endif
      auto h_metadata = Kokkos::create_mirror(Kokkos::HostSpace::memory_space(), d_metadata);
      Kokkos::deep_copy (h_metadata, d_metadata);
#if PCBJKOKKOS_VERBOSE_LEVEL >= 3
#if PCBJKOKKOS_VERBOSE_LEVEL >= 4
      PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Iterations\n"));
#endif
      // assume species major
#if PCBJKOKKOS_VERBOSE_LEVEL < 4
      PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"max iterations per species (%s) :",ksp_type_idx==BATCH_KSP_BICG_IDX ? "bicg" : "tfqmr"));
#endif
      for (PetscInt dmIdx=0, s=0, head=0 ; dmIdx < jac->num_dms; dmIdx += batch_sz) {
        for (PetscInt f=0, idx=head ; f < jac->dm_Nf[dmIdx] ; f++,s++,idx++) {
#if PCBJKOKKOS_VERBOSE_LEVEL >= 4
          PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"%2" PetscInt_FMT ":", s));
          for (int bid=0 ; bid<batch_sz ; bid++) {
            PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"%3" PetscInt_FMT " ", h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its));
          }
          PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"\n"));
#else
          PetscInt count=0;
          for (int bid=0 ; bid<batch_sz ; bid++) {
            if (h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its > count) count = h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its;
          }
          PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"%3" PetscInt_FMT " ", count));
#endif
        }
        head += batch_sz*jac->dm_Nf[dmIdx];
      }
#if PCBJKOKKOS_VERBOSE_LEVEL == 3
      PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"\n"));
#endif
#endif
      PetscInt count=0, mbid=0;
      for (int blkID=0;blkID<nBlk;blkID++) {
        PetscCall(PetscLogGpuFlops((PetscLogDouble)h_metadata[blkID].flops));
        if (jac->reason) { // -pc_bjkokkos_ksp_converged_reason
          if (jac->batch_target==blkID) {
            PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),  "    Linear solve converged due to %s iterations %d, batch %" PetscInt_FMT ", species %" PetscInt_FMT "\n", KSPConvergedReasons[h_metadata[blkID].reason], h_metadata[blkID].its, blkID%batch_sz, blkID/batch_sz));
          } else if (jac->batch_target==-1 && h_metadata[blkID].its > count) {
            jac->max_nits = count = h_metadata[blkID].its;
            mbid = blkID;
          }
          if (h_metadata[blkID].reason < 0) {
            PetscCall(PetscPrintf(PETSC_COMM_SELF, "ERROR reason=%s, its=%" PetscInt_FMT ". species %" PetscInt_FMT ", batch %" PetscInt_FMT "\n",
                                  KSPConvergedReasons[h_metadata[blkID].reason],h_metadata[blkID].its,blkID/batch_sz,blkID%batch_sz));
          }
        }
      }
      if (jac->batch_target==-1 && jac->reason) {
        PetscCall(PetscPrintf(PetscObjectComm((PetscObject)A),"    Linear solve converged due to %s iterations %d, batch %" PetscInt_FMT ", specie %" PetscInt_FMT "\n", KSPConvergedReasons[h_metadata[mbid].reason], h_metadata[mbid].its, mbid%batch_sz, mbid/batch_sz));
      }
      {
        int errsum;
        Kokkos::parallel_reduce(nBlk, KOKKOS_LAMBDA (const int idx, int& lsum) {
            if (d_metadata[idx].reason < 0) ++lsum;
          }, errsum);
        pcreason = errsum ? PC_SUBPC_ERROR : PC_NOERROR;
        if (!errsum && !jac->max_nits) { // set max its to give back to top KSP
          for (int blkID=0;blkID<nBlk;blkID++) {
            if (h_metadata[blkID].its > jac->max_nits) jac->max_nits = h_metadata[blkID].its;
          }
        } else if (errsum) {
          PetscCall(PetscPrintf(PETSC_COMM_SELF,"ERROR Kokkos batch solver did not converge in all solves\n"));
        }
      }
#if defined(PETSC_HAVE_CUDA_NVTX)
      nvtxRangePop();
#endif
    } // end of Kokkos (not Kernels) solvers block
    PetscCall(VecRestoreArrayAndMemType(xout,&glb_xdata));
    PetscCall(VecRestoreArrayReadAndMemType(bvec,&glb_bdata));
    PetscCall(PCSetFailedReason(pc,pcreason));
    // map back to Plex space - not used
    if (plex_batch) {
      PetscCall(VecCopy(xout, bvec));
      PetscCall(VecScatterBegin(plex_batch,bvec,xout,INSERT_VALUES,SCATTER_REVERSE));
      PetscCall(VecScatterEnd(plex_batch,bvec,xout,INSERT_VALUES,SCATTER_REVERSE));
      PetscCall(VecDestroy(&bvec));
    }
  } // whole 'have aijkok' block
  PetscFunctionReturn(0);
}

static PetscErrorCode PCSetUp_BJKOKKOS(PC pc)
{
  PC_PCBJKOKKOS    *jac = (PC_PCBJKOKKOS*)pc->data;
  Mat               A   = pc->pmat;
  Mat_SeqAIJKokkos *aijkok;
  PetscBool         flg;

  PetscFunctionBegin;
  PetscCheck(!pc->useAmat,PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"No support for using 'use_amat'");
  PetscCheck(A,PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"No matrix - A is used above");
  PetscCall(PetscObjectTypeCompareAny((PetscObject)A,&flg,MATSEQAIJKOKKOS,MATMPIAIJKOKKOS,MATAIJKOKKOS,""));
  PetscCheck(flg,PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"must use '-dm_mat_type aijkokkos -dm_vec_type kokkos' for -pc_type bjkokkos");
  if (!(aijkok = static_cast<Mat_SeqAIJKokkos*>(A->spptr))) {
    SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"No aijkok");
  } else {
    if (!jac->vec_diag) {
      Vec               *subX;
      DM                pack,*subDM;
      PetscInt          nDMs, n;
      PetscContainer    container;
      PetscCall(PetscObjectQuery((PetscObject) A, "plex_batch_is", (PetscObject *) &container));
      { // Permute the matrix to get a block diagonal system: d_isrow_k, d_isicol_k
        MatOrderingType   rtype;
        IS                isrow,isicol;
        const PetscInt    *rowindices,*icolindices;
        rtype = MATORDERINGRCM;
        // get permutation. Not what I expect so inverted here
        PetscCall(MatGetOrdering(A,rtype,&isrow,&isicol));
        PetscCall(ISDestroy(&isrow));
        PetscCall(ISInvertPermutation(isicol,PETSC_DECIDE,&isrow)); // THIS IS BACKWARD -- isrow is inverse -- FIX!!!!!

        Mat mat_block_order;
        PetscCall(MatCreateSubMatrix(A,isicol,isicol,MAT_INITIAL_MATRIX,&mat_block_order));
        PetscCall(MatViewFromOptions(mat_block_order, NULL, "-ksp_batch_reorder_view"));
        PetscCall(MatDestroy(&mat_block_order));

        PetscCall(ISGetIndices(isrow,&rowindices));
        PetscCall(ISGetIndices(isicol,&icolindices));
        const Kokkos::View<PetscInt*, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_isrow_k((PetscInt*)rowindices,A->rmap->n);
        const Kokkos::View<PetscInt*, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_isicol_k ((PetscInt*)icolindices,A->rmap->n);
        jac->d_isrow_k = new Kokkos::View<PetscInt*>(Kokkos::create_mirror(DefaultMemorySpace(),h_isrow_k));
        jac->d_isicol_k = new Kokkos::View<PetscInt*>(Kokkos::create_mirror(DefaultMemorySpace(),h_isicol_k));
        Kokkos::deep_copy (*jac->d_isrow_k, h_isrow_k);
        Kokkos::deep_copy (*jac->d_isicol_k, h_isicol_k);
        PetscCall(ISRestoreIndices(isrow,&rowindices));
        PetscCall(ISRestoreIndices(isicol,&icolindices));
        PetscCall(ISDestroy(&isrow));
        PetscCall(ISDestroy(&isicol));
      }
      // get block sizes
      PetscCall(PCGetDM(pc, &pack));
      PetscCheck(pack,PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"no DM. Requires a composite DM");
      PetscCall(PetscObjectTypeCompare((PetscObject)pack,DMCOMPOSITE,&flg));
      PetscCheck(flg,PetscObjectComm((PetscObject)pack),PETSC_ERR_USER,"Not for type %s",((PetscObject)pack)->type_name);
      PetscCall(DMCompositeGetNumberDM(pack,&nDMs));
      jac->num_dms = nDMs;
      PetscCall(DMCreateGlobalVector(pack, &jac->vec_diag));
      PetscCall(VecGetLocalSize(jac->vec_diag,&n));
      jac->n = n;
      jac->d_idiag_k = new Kokkos::View<PetscScalar*, Kokkos::LayoutRight>("idiag", n);
      // options
      PetscCall(PCBJKOKKOSCreateKSP_BJKOKKOS(pc));
      PetscCall(KSPSetFromOptions(jac->ksp));
      PetscCall(PetscObjectTypeCompareAny((PetscObject)jac->ksp,&flg,KSPBICG,""));
      if (flg) {jac->ksp_type_idx = BATCH_KSP_BICG_IDX; jac->nwork = 7;}
      else {
        PetscCall(PetscObjectTypeCompareAny((PetscObject)jac->ksp,&flg,KSPTFQMR,""));
        if (flg) {jac->ksp_type_idx = BATCH_KSP_TFQMR_IDX; jac->nwork = 10;}
        else {
          PetscCall(PetscObjectTypeCompareAny((PetscObject)jac->ksp,&flg,KSPGMRES,""));
          if (flg) {jac->ksp_type_idx = BATCH_KSP_GMRES_IDX; jac->nwork = 0;}
          else {
            SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Unsupported batch ksp type");
          }
        }
      }
      PetscOptionsBegin(PetscObjectComm((PetscObject)jac->ksp), ((PetscObject)jac->ksp)->prefix, "Options for Kokkos batch solver", "none");
      PetscCall(PetscOptionsBool("-ksp_converged_reason","","bjkokkos.kokkos.cxx.c",jac->reason, &jac->reason, NULL));
      PetscCall(PetscOptionsBool("-ksp_monitor","","bjkokkos.kokkos.cxx.c",jac->monitor,&jac->monitor, NULL));
      PetscCall(PetscOptionsInt("-ksp_batch_target", "", "bjkokkos.kokkos.cxx.c", jac->batch_target, &jac->batch_target, NULL));
      PetscCall(PetscOptionsInt("-ksp_batch_nsolves_team", "", "bjkokkos.kokkos.cxx.c", jac->nsolves_team, &jac->nsolves_team, NULL));
      PetscCheck(jac->batch_target < jac->num_dms,PETSC_COMM_WORLD,PETSC_ERR_ARG_WRONG,"-ksp_batch_target (%" PetscInt_FMT ") >= number of DMs (%" PetscInt_FMT ")",jac->batch_target,jac->num_dms);
      PetscOptionsEnd();
      // get blocks - jac->d_bid_eqOffset_k
      PetscCall(PetscMalloc(sizeof(*subX)*nDMs, &subX));
      PetscCall(PetscMalloc(sizeof(*subDM)*nDMs, &subDM));
      PetscCall(PetscMalloc(sizeof(*jac->dm_Nf)*nDMs, &jac->dm_Nf));
      PetscCall(PetscInfo(pc, "Have %" PetscInt_FMT " DMs, n=%" PetscInt_FMT " rtol=%g type = %s\n", nDMs, n, (double)jac->ksp->rtol, ((PetscObject)jac->ksp)->type_name));
      PetscCall(DMCompositeGetEntriesArray(pack,subDM));
      jac->nBlocks = 0;
      for (PetscInt ii=0;ii<nDMs;ii++) {
        PetscSection section;
        PetscInt Nf;
        DM dm = subDM[ii];
        PetscCall(DMGetLocalSection(dm, &section));
        PetscCall(PetscSectionGetNumFields(section, &Nf));
        jac->nBlocks += Nf;
#if PCBJKOKKOS_VERBOSE_LEVEL <= 2
        if (ii==0) PetscCall(PetscInfo(pc,"%" PetscInt_FMT ") %" PetscInt_FMT " blocks (%" PetscInt_FMT " total)\n",ii,Nf,jac->nBlocks));
#else
        PetscCall(PetscInfo(pc,"%" PetscInt_FMT ") %" PetscInt_FMT " blocks (%" PetscInt_FMT " total)\n",ii,Nf,jac->nBlocks));
#endif
        jac->dm_Nf[ii] = Nf;
      }
      { // d_bid_eqOffset_k
        Kokkos::View<PetscInt*, Kokkos::LayoutRight, Kokkos::HostSpace> h_block_offsets("block_offsets", jac->nBlocks+1);
        PetscCall(DMCompositeGetAccessArray(pack, jac->vec_diag, nDMs, NULL, subX));
        h_block_offsets[0] = 0;
        jac->const_block_size = -1;
        for (PetscInt ii=0, idx = 0;ii<nDMs;ii++) {
          PetscInt nloc,nblk;
          PetscCall(VecGetSize(subX[ii],&nloc));
          nblk = nloc/jac->dm_Nf[ii];
          PetscCheck(nloc%jac->dm_Nf[ii] == 0,PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"nloc%%jac->dm_Nf[ii] (%" PetscInt_FMT ") != 0 DMs",nloc%jac->dm_Nf[ii]);
          for (PetscInt jj=0;jj<jac->dm_Nf[ii];jj++, idx++) {
            h_block_offsets[idx+1] = h_block_offsets[idx] + nblk;
#if PCBJKOKKOS_VERBOSE_LEVEL <= 2
            if (idx==0) PetscCall(PetscInfo(pc,"\t%" PetscInt_FMT ") Add block with %" PetscInt_FMT " equations of %" PetscInt_FMT "\n",idx+1,nblk,jac->nBlocks));
#else
            PetscCall(PetscInfo(pc,"\t%" PetscInt_FMT ") Add block with %" PetscInt_FMT " equations of %" PetscInt_FMT "\n",idx+1,nblk,jac->nBlocks));
#endif
            if (jac->const_block_size == -1) jac->const_block_size = nblk;
            else if (jac->const_block_size > 0 && jac->const_block_size != nblk) jac->const_block_size = 0;
          }
        }
        PetscCall(DMCompositeRestoreAccessArray(pack, jac->vec_diag, jac->nBlocks, NULL, subX));
        PetscCall(PetscFree(subX));
        PetscCall(PetscFree(subDM));
        jac->d_bid_eqOffset_k = new Kokkos::View<PetscInt*, Kokkos::LayoutRight>(Kokkos::create_mirror(Kokkos::DefaultExecutionSpace::memory_space(),h_block_offsets));
        Kokkos::deep_copy (*jac->d_bid_eqOffset_k, h_block_offsets);
      }
    }
    { // get jac->d_idiag_k (PC setup),
      const PetscInt    *d_ai=aijkok->i_device_data(), *d_aj=aijkok->j_device_data();
      const PetscScalar *d_aa = aijkok->a_device_data();
      const PetscInt    conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp==0 && PCBJKOKKOS_VEC_SIZE != 1) ? PCBJKOKKOS_TEAM_SIZE : 1;
      PetscInt          *d_bid_eqOffset = jac->d_bid_eqOffset_k->data(), *r = jac->d_isrow_k->data(), *ic = jac->d_isicol_k->data();
      PetscScalar       *d_idiag = jac->d_idiag_k->data();
      Kokkos::parallel_for("Diag", Kokkos::TeamPolicy<>(jac->nBlocks, team_size, PCBJKOKKOS_VEC_SIZE), KOKKOS_LAMBDA (const team_member team) {
          const PetscInt blkID = team.league_rank();
          Kokkos::parallel_for
            (Kokkos::TeamThreadRange(team,d_bid_eqOffset[blkID],d_bid_eqOffset[blkID+1]),
             [=] (const int rowb) {
               const PetscInt    rowa = ic[rowb], ai = d_ai[rowa], *aj = d_aj + ai; // grab original data
               const PetscScalar *aa  = d_aa + ai;
               const PetscInt    nrow = d_ai[rowa + 1] - ai;
               int found;
               Kokkos::parallel_reduce
                 (Kokkos::ThreadVectorRange (team, nrow),
                  [=] (const int& j, int &count) {
                    const PetscInt colb = r[aj[j]];
                    if (colb==rowb) {
                      d_idiag[rowb] = 1./aa[j];
                      count++;
                    }}, found);
#if defined(PETSC_USE_DEBUG) && !defined(PETSC_HAVE_SYCL)
               if (found!=1) Kokkos::single (Kokkos::PerThread (team), [=] () {printf("ERRORrow %d) found = %d\n",rowb,found);});
#endif
             });
        });
    }
  }
  PetscFunctionReturn(0);
}

/* Default destroy, if it has never been setup */
static PetscErrorCode PCReset_BJKOKKOS(PC pc)
{
  PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data;

  PetscFunctionBegin;
  PetscCall(KSPDestroy(&jac->ksp));
  PetscCall(VecDestroy(&jac->vec_diag));
  if (jac->d_bid_eqOffset_k) delete jac->d_bid_eqOffset_k;
  if (jac->d_idiag_k) delete jac->d_idiag_k;
  if (jac->d_isrow_k) delete jac->d_isrow_k;
  if (jac->d_isicol_k) delete jac->d_isicol_k;
  jac->d_bid_eqOffset_k = NULL;
  jac->d_idiag_k = NULL;
  jac->d_isrow_k = NULL;
  jac->d_isicol_k = NULL;
  PetscCall(PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSGetKSP_C",NULL)); // not published now (causes configure errors)
  PetscCall(PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSSetKSP_C",NULL));
  PetscCall(PetscFree(jac->dm_Nf));
  jac->dm_Nf = NULL;
  if (jac->rowOffsets) delete jac->rowOffsets;
  if (jac->colIndices) delete jac->colIndices;
  if (jac->batch_b) delete jac->batch_b;
  if (jac->batch_x) delete jac->batch_x;
  if (jac->batch_values) delete jac->batch_values;
  jac->rowOffsets          = NULL;
  jac->colIndices          = NULL;
  jac->batch_b             = NULL;
  jac->batch_x             = NULL;
  jac->batch_values        = NULL;

  PetscFunctionReturn(0);
}

static PetscErrorCode PCDestroy_BJKOKKOS(PC pc)
{
  PetscFunctionBegin;
  PetscCall(PCReset_BJKOKKOS(pc));
  PetscCall(PetscFree(pc->data));
  PetscFunctionReturn(0);
}

static PetscErrorCode PCView_BJKOKKOS(PC pc,PetscViewer viewer)
{
  PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data;
  PetscBool      iascii;

  PetscFunctionBegin;
  if (!jac->ksp) PetscCall(PCBJKOKKOSCreateKSP_BJKOKKOS(pc));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii));
  if (iascii) {
    PetscCall(PetscViewerASCIIPrintf(viewer,"  Batched device linear solver: Krylov (KSP) method with Jacobi preconditioning\n"));
    PetscCall(PetscViewerASCIIPrintf(viewer,"\t\tnwork = %" PetscInt_FMT ", rel tol = %e, abs tol = %e, div tol = %e, max it =%" PetscInt_FMT ", type = %s\n",jac->nwork,jac->ksp->rtol,
                                   jac->ksp->abstol, jac->ksp->divtol, jac->ksp->max_it,
                                   ((PetscObject)jac->ksp)->type_name));
  }
  PetscFunctionReturn(0);
}

static PetscErrorCode PCSetFromOptions_BJKOKKOS(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PetscFunctionBegin;
  PetscOptionsHeadBegin(PetscOptionsObject,"PC BJKOKKOS options");
  PetscOptionsHeadEnd();
  PetscFunctionReturn(0);
}

static PetscErrorCode  PCBJKOKKOSSetKSP_BJKOKKOS(PC pc,KSP ksp)
{
  PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data;

  PetscFunctionBegin;
  PetscCall(PetscObjectReference((PetscObject)ksp));
  PetscCall(KSPDestroy(&jac->ksp));
  jac->ksp = ksp;
  PetscFunctionReturn(0);
}

/*@C
   PCBJKOKKOSSetKSP - Sets the KSP context for a KSP PC.

   Collective on PC

   Input Parameters:
+  pc - the preconditioner context
-  ksp - the KSP solver

   Notes:
   The PC and the KSP must have the same communicator

   Level: advanced

@*/
PetscErrorCode  PCBJKOKKOSSetKSP(PC pc,KSP ksp)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidHeaderSpecific(ksp,KSP_CLASSID,2);
  PetscCheckSameComm(pc,1,ksp,2);
  PetscTryMethod(pc,"PCBJKOKKOSSetKSP_C",(PC,KSP),(pc,ksp));
  PetscFunctionReturn(0);
}

static PetscErrorCode  PCBJKOKKOSGetKSP_BJKOKKOS(PC pc,KSP *ksp)
{
  PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data;

  PetscFunctionBegin;
  if (!jac->ksp) PetscCall(PCBJKOKKOSCreateKSP_BJKOKKOS(pc));
  *ksp = jac->ksp;
  PetscFunctionReturn(0);
}

/*@C
   PCBJKOKKOSGetKSP - Gets the KSP context for a KSP PC.

   Not Collective but KSP returned is parallel if PC was parallel

   Input Parameter:
.  pc - the preconditioner context

   Output Parameters:
.  ksp - the KSP solver

   Notes:
   You must call KSPSetUp() before calling PCBJKOKKOSGetKSP().

   If the PC is not a PCBJKOKKOS object it raises an error

   Level: advanced

@*/
PetscErrorCode  PCBJKOKKOSGetKSP(PC pc,KSP *ksp)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidPointer(ksp,2);
  PetscUseMethod(pc,"PCBJKOKKOSGetKSP_C",(PC,KSP*),(pc,ksp));
  PetscFunctionReturn(0);
}

static PetscErrorCode PCPostSolve_BJKOKKOS(PC pc,KSP ksp,Vec b,Vec x)
{
  PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data;

  PetscFunctionBegin;
  ksp->its = jac->max_nits;
  PetscFunctionReturn(0);
}

/* ----------------------------------------------------------------------------------*/

/*MC
     PCBJKOKKOS -  Defines a preconditioner that applies a Krylov solver and preconditioner to the blocks in a AIJASeq matrix on the GPU.

   Options Database Key:
.     -pc_bjkokkos_ - options prefix with ksp options

   Level: intermediate

   Notes:
    For use with -ksp_type preonly to bypass any CPU work

   Developer Notes:

.seealso: `PCCreate()`, `PCSetType()`, `PCType`, `PC`,
          `PCSHELL`, `PCCOMPOSITE`, `PCSetUseAmat()`, `PCBJKOKKOSGetKSP()`

M*/

PETSC_EXTERN PetscErrorCode PCCreate_BJKOKKOS(PC pc)
{
  PC_PCBJKOKKOS *jac;

  PetscFunctionBegin;
  PetscCall(PetscNewLog(pc,&jac));
  pc->data = (void*)jac;

  jac->ksp              = NULL;
  jac->vec_diag         = NULL;
  jac->d_bid_eqOffset_k = NULL;
  jac->d_idiag_k        = NULL;
  jac->d_isrow_k        = NULL;
  jac->d_isicol_k       = NULL;
  jac->nBlocks          = 1;
  jac->max_nits         = 0;

  PetscCall(PetscMemzero(pc->ops,sizeof(struct _PCOps)));
  pc->ops->apply           = PCApply_BJKOKKOS;
  pc->ops->applytranspose  = NULL;
  pc->ops->setup           = PCSetUp_BJKOKKOS;
  pc->ops->reset           = PCReset_BJKOKKOS;
  pc->ops->destroy         = PCDestroy_BJKOKKOS;
  pc->ops->setfromoptions  = PCSetFromOptions_BJKOKKOS;
  pc->ops->view            = PCView_BJKOKKOS;
  pc->ops->postsolve       = PCPostSolve_BJKOKKOS;

  jac->rowOffsets          = NULL;
  jac->colIndices          = NULL;
  jac->batch_b             = NULL;
  jac->batch_x             = NULL;
  jac->batch_values        = NULL;

  PetscCall(PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSGetKSP_C",PCBJKOKKOSGetKSP_BJKOKKOS));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSSetKSP_C",PCBJKOKKOSSetKSP_BJKOKKOS));
  PetscFunctionReturn(0);
}