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1bcb2dfaeSJed Brown# Changes/Release Notes
2bcb2dfaeSJed Brown
3bcb2dfaeSJed BrownOn this page we provide a summary of the main API changes, new features and examples
4bcb2dfaeSJed Brownfor each release of libCEED.
5bcb2dfaeSJed Brown
6bcb2dfaeSJed Brown(main)=
7bcb2dfaeSJed Brown
8bcb2dfaeSJed Brown## Current `main` branch
9bcb2dfaeSJed Brown
10bcb2dfaeSJed Brown### Maintainability
11bcb2dfaeSJed Brown
12bcb2dfaeSJed Brown- Refactored preconditioner support internally to facilitate future development and improve GPU completeness/test coverage.
13bcb2dfaeSJed Brown
14bcb2dfaeSJed Brown(v0-9)=
15bcb2dfaeSJed Brown
16bcb2dfaeSJed Brown## v0.9 (Jul 6, 2021)
17bcb2dfaeSJed Brown
18bcb2dfaeSJed Brown### Interface changes
19bcb2dfaeSJed Brown
20bcb2dfaeSJed Brown- Minor modification in error handling macro to silence pedantic warnings when compiling with Clang, but no functional impact.
21bcb2dfaeSJed Brown
22bcb2dfaeSJed Brown### New features
23bcb2dfaeSJed Brown
24bcb2dfaeSJed Brown- Add {c:func}`CeedVectorAXPY` and {c:func}`CeedVectorPointwiseMult` as a convenience for stand-alone testing and internal use.
25bcb2dfaeSJed Brown- Add `CEED_QFUNCTION_HELPER` macro to properly annotate QFunction helper functions for code generation backends.
26bcb2dfaeSJed Brown- Add `CeedPragmaOptimizeOff` macro for code that is sensitive to floating point errors from fast math optimizations.
27bcb2dfaeSJed Brown- Rust support: split `libceed-sys` crate out of `libceed` and [publish both on crates.io](https://crates.io/crates/libceed).
28bcb2dfaeSJed Brown
29bcb2dfaeSJed Brown### Performance improvements
30bcb2dfaeSJed Brown
31bcb2dfaeSJed Brown### Examples
32bcb2dfaeSJed Brown
33bcb2dfaeSJed Brown- Solid mechanics mini-app updated to explore the performance impacts of various formulations in the initial and current configurations.
34bcb2dfaeSJed Brown- Fluid mechanics example adds GPU support and improves modularity.
35bcb2dfaeSJed Brown
36bcb2dfaeSJed Brown### Deprecated backends
37bcb2dfaeSJed Brown
38bcb2dfaeSJed Brown- The `/cpu/self/tmpl` and `/cpu/self/tmpl/sub` backends have been removed. These backends were intially added to test the backend inheritance mechanism, but this mechanism is now widely used and tested in multiple backends.
39bcb2dfaeSJed Brown
40bcb2dfaeSJed Brown(v0-8)=
41bcb2dfaeSJed Brown
42bcb2dfaeSJed Brown## v0.8 (Mar 31, 2021)
43bcb2dfaeSJed Brown
44bcb2dfaeSJed Brown### Interface changes
45bcb2dfaeSJed Brown
46bcb2dfaeSJed Brown- Error handling improved to include enumerated error codes for C interface return values.
47bcb2dfaeSJed Brown- Installed headers that will follow semantic versioning were moved to {code}`include/ceed` directory. These headers have been renamed from {code}`ceed-*.h` to {code}`ceed/*.h`. Placeholder headers with the old naming schema are currently provided, but these headers will be removed in the libCEED v0.9 release.
48bcb2dfaeSJed Brown
49bcb2dfaeSJed Brown### New features
50bcb2dfaeSJed Brown
51bcb2dfaeSJed Brown- Julia and Rust interfaces added, providing a nearly 1-1 correspondence with the C interface, plus some convenience features.
52bcb2dfaeSJed Brown- Static libraries can be built with `make STATIC=1` and the pkg-config file is installed accordingly.
53bcb2dfaeSJed Brown- Add {c:func}`CeedOperatorLinearAssembleSymbolic` and {c:func}`CeedOperatorLinearAssemble` to support full assembly of libCEED operators.
54bcb2dfaeSJed Brown
55bcb2dfaeSJed Brown### Performance improvements
56bcb2dfaeSJed Brown
57bcb2dfaeSJed Brown- New HIP MAGMA backends for hipMAGMA library users: `/gpu/hip/magma` and `/gpu/hip/magma/det`.
58bcb2dfaeSJed Brown- New HIP backends for improved tensor basis performance: `/gpu/hip/shared` and `/gpu/hip/gen`.
59bcb2dfaeSJed Brown
60bcb2dfaeSJed Brown### Examples
61bcb2dfaeSJed Brown
62bcb2dfaeSJed Brown- {ref}`example-petsc-elasticity` example updated with traction boundary conditions and improved Dirichlet boundary conditions.
63bcb2dfaeSJed Brown- {ref}`example-petsc-elasticity` example updated with Neo-Hookean hyperelasticity in current configuration as well as improved Neo-Hookean hyperelasticity exploring storage vs computation tradeoffs.
64bcb2dfaeSJed Brown- {ref}`example-petsc-navier-stokes` example updated with isentropic traveling vortex test case, an analytical solution to the Euler equations that is useful for testing boundary conditions, discretization stability, and order of accuracy.
65bcb2dfaeSJed Brown- {ref}`example-petsc-navier-stokes` example updated with support for performing convergence study and plotting order of convergence by polynomial degree.
66bcb2dfaeSJed Brown
67bcb2dfaeSJed Brown(v0-7)=
68bcb2dfaeSJed Brown
69bcb2dfaeSJed Brown## v0.7 (Sep 29, 2020)
70bcb2dfaeSJed Brown
71bcb2dfaeSJed Brown### Interface changes
72bcb2dfaeSJed Brown
73bcb2dfaeSJed Brown- Replace limited {code}`CeedInterlaceMode` with more flexible component stride {code}`compstride` in {code}`CeedElemRestriction` constructors.
74bcb2dfaeSJed Brown  As a result, the {code}`indices` parameter has been replaced with {code}`offsets` and the {code}`nnodes` parameter has been replaced with {code}`lsize`.
75bcb2dfaeSJed Brown  These changes improve support for mixed finite element methods.
76bcb2dfaeSJed Brown- Replace various uses of {code}`Ceed*Get*Status` with {code}`Ceed*Is*` in the backend API to match common nomenclature.
77bcb2dfaeSJed Brown- Replace {code}`CeedOperatorAssembleLinearDiagonal` with {c:func}`CeedOperatorLinearAssembleDiagonal` for clarity.
78bcb2dfaeSJed Brown- Linear Operators can be assembled as point-block diagonal matrices with {c:func}`CeedOperatorLinearAssemblePointBlockDiagonal`, provided in row-major form in a {code}`ncomp` by {code}`ncomp` block per node.
79bcb2dfaeSJed Brown- Diagonal assemble interface changed to accept a {ref}`CeedVector` instead of a pointer to a {ref}`CeedVector` to reduce memory movement when interfacing with calling code.
80bcb2dfaeSJed Brown- Added {c:func}`CeedOperatorLinearAssembleAddDiagonal` and {c:func}`CeedOperatorLinearAssembleAddPointBlockDiagonal` for improved future integration with codes such as MFEM that compose the action of {ref}`CeedOperator`s external to libCEED.
81bcb2dfaeSJed Brown- Added {c:func}`CeedVectorTakeAray` to sync and remove libCEED read/write access to an allocated array and pass ownership of the array to the caller.
82bcb2dfaeSJed Brown  This function is recommended over {c:func}`CeedVectorSyncArray` when the {code}`CeedVector` has an array owned by the caller that was set by {c:func}`CeedVectorSetArray`.
83bcb2dfaeSJed Brown- Added {code}`CeedQFunctionContext` object to manage user QFunction context data and reduce copies between device and host memory.
84bcb2dfaeSJed Brown- Added {c:func}`CeedOperatorMultigridLevelCreate`, {c:func}`CeedOperatorMultigridLevelCreateTensorH1`, and {c:func}`CeedOperatorMultigridLevelCreateH1` to facilitate creation of multigrid prolongation, restriction, and coarse grid operators using a common quadrature space.
85bcb2dfaeSJed Brown
86bcb2dfaeSJed Brown### New features
87bcb2dfaeSJed Brown
88bcb2dfaeSJed Brown- New HIP backend: `/gpu/hip/ref`.
89bcb2dfaeSJed Brown- CeedQFunction support for user `CUfunction`s in some backends
90bcb2dfaeSJed Brown
91bcb2dfaeSJed Brown### Performance improvements
92bcb2dfaeSJed Brown
93bcb2dfaeSJed Brown- OCCA backend rebuilt to facilitate future performance enhancements.
94bcb2dfaeSJed Brown- Petsc BPs suite improved to reduce noise due to multiple calls to {code}`mpiexec`.
95bcb2dfaeSJed Brown
96bcb2dfaeSJed Brown### Examples
97bcb2dfaeSJed Brown
98bcb2dfaeSJed Brown- {ref}`example-petsc-elasticity` example updated with strain energy computation and more flexible boundary conditions.
99bcb2dfaeSJed Brown
100bcb2dfaeSJed Brown### Deprecated backends
101bcb2dfaeSJed Brown
102bcb2dfaeSJed Brown- The `/gpu/cuda/reg` backend has been removed, with its core features moved into `/gpu/cuda/ref` and `/gpu/cuda/shared`.
103bcb2dfaeSJed Brown
104bcb2dfaeSJed Brown(v0-6)=
105bcb2dfaeSJed Brown
106bcb2dfaeSJed Brown## v0.6 (Mar 29, 2020)
107bcb2dfaeSJed Brown
108bcb2dfaeSJed BrownlibCEED v0.6 contains numerous new features and examples, as well as expanded
109bcb2dfaeSJed Browndocumentation in [this new website](https://libceed.readthedocs.io).
110bcb2dfaeSJed Brown
111bcb2dfaeSJed Brown### New features
112bcb2dfaeSJed Brown
113bcb2dfaeSJed Brown- New Python interface using [CFFI](https://cffi.readthedocs.io/) provides a nearly
114bcb2dfaeSJed Brown  1-1 correspondence with the C interface, plus some convenience features.  For instance,
115bcb2dfaeSJed Brown  data stored in the {cpp:type}`CeedVector` structure are available without copy as
116bcb2dfaeSJed Brown  {py:class}`numpy.ndarray`.  Short tutorials are provided in
117bcb2dfaeSJed Brown  [Binder](https://mybinder.org/v2/gh/CEED/libCEED/main?urlpath=lab/tree/examples/tutorials/).
118bcb2dfaeSJed Brown- Linear QFunctions can be assembled as block-diagonal matrices (per quadrature point,
119bcb2dfaeSJed Brown  {c:func}`CeedOperatorAssembleLinearQFunction`) or to evaluate the diagonal
120bcb2dfaeSJed Brown  ({c:func}`CeedOperatorAssembleLinearDiagonal`).  These operations are useful for
121bcb2dfaeSJed Brown  preconditioning ingredients and are used in the libCEED's multigrid examples.
122bcb2dfaeSJed Brown- The inverse of separable operators can be obtained using
123bcb2dfaeSJed Brown  {c:func}`CeedOperatorCreateFDMElementInverse` and applied with
124bcb2dfaeSJed Brown  {c:func}`CeedOperatorApply`.  This is a useful preconditioning ingredient,
125bcb2dfaeSJed Brown  especially for Laplacians and related operators.
126bcb2dfaeSJed Brown- New functions: {c:func}`CeedVectorNorm`, {c:func}`CeedOperatorApplyAdd`,
127bcb2dfaeSJed Brown  {c:func}`CeedQFunctionView`, {c:func}`CeedOperatorView`.
128bcb2dfaeSJed Brown- Make public accessors for various attributes to facilitate writing composable code.
129bcb2dfaeSJed Brown- New backend: `/cpu/self/memcheck/serial`.
130bcb2dfaeSJed Brown- QFunctions using variable-length array (VLA) pointer constructs can be used with CUDA
131bcb2dfaeSJed Brown  backends.  (Single source is coming soon for OCCA backends.)
132bcb2dfaeSJed Brown- Fix some missing edge cases in CUDA backend.
133bcb2dfaeSJed Brown
134bcb2dfaeSJed Brown### Performance Improvements
135bcb2dfaeSJed Brown
136bcb2dfaeSJed Brown- MAGMA backend performance optimization and non-tensor bases.
137bcb2dfaeSJed Brown- No-copy optimization in {c:func}`CeedOperatorApply`.
138bcb2dfaeSJed Brown
139bcb2dfaeSJed Brown### Interface changes
140bcb2dfaeSJed Brown
141bcb2dfaeSJed Brown- Replace {code}`CeedElemRestrictionCreateIdentity` and
142bcb2dfaeSJed Brown  {code}`CeedElemRestrictionCreateBlocked` with more flexible
143bcb2dfaeSJed Brown  {c:func}`CeedElemRestrictionCreateStrided` and
144bcb2dfaeSJed Brown  {c:func}`CeedElemRestrictionCreateBlockedStrided`.
145bcb2dfaeSJed Brown- Add arguments to {c:func}`CeedQFunctionCreateIdentity`.
146bcb2dfaeSJed Brown- Replace ambiguous uses of {cpp:enum}`CeedTransposeMode` for L-vector identification
147bcb2dfaeSJed Brown  with {cpp:enum}`CeedInterlaceMode`.  This is now an attribute of the
148bcb2dfaeSJed Brown  {cpp:type}`CeedElemRestriction` (see {c:func}`CeedElemRestrictionCreate`) and no
149bcb2dfaeSJed Brown  longer passed as `lmode` arguments to {c:func}`CeedOperatorSetField` and
150bcb2dfaeSJed Brown  {c:func}`CeedElemRestrictionApply`.
151bcb2dfaeSJed Brown
152bcb2dfaeSJed Brown### Examples
153bcb2dfaeSJed Brown
154bcb2dfaeSJed BrownlibCEED-0.6 contains greatly expanded examples with {ref}`new documentation <Examples>`.
155bcb2dfaeSJed BrownNotable additions include:
156bcb2dfaeSJed Brown
157bcb2dfaeSJed Brown- Standalone {ref}`ex2-surface` ({file}`examples/ceed/ex2-surface`): compute the area of
158bcb2dfaeSJed Brown  a domain in 1, 2, and 3 dimensions by applying a Laplacian.
159bcb2dfaeSJed Brown
160bcb2dfaeSJed Brown- PETSc {ref}`example-petsc-area` ({file}`examples/petsc/area.c`): computes surface area
161bcb2dfaeSJed Brown  of domains (like the cube and sphere) by direct integration on a surface mesh;
162bcb2dfaeSJed Brown  demonstrates geometric dimension different from topological dimension.
163bcb2dfaeSJed Brown
164bcb2dfaeSJed Brown- PETSc {ref}`example-petsc-bps`:
165bcb2dfaeSJed Brown
166bcb2dfaeSJed Brown  - {file}`examples/petsc/bpsraw.c` (formerly `bps.c`): transparent CUDA support.
167bcb2dfaeSJed Brown  - {file}`examples/petsc/bps.c` (formerly `bpsdmplex.c`): performance improvements
168bcb2dfaeSJed Brown    and transparent CUDA support.
169bcb2dfaeSJed Brown  - {ref}`example-petsc-bps-sphere` ({file}`examples/petsc/bpssphere.c`):
170bcb2dfaeSJed Brown    generalizations of all CEED BPs to the surface of the sphere; demonstrates geometric
171bcb2dfaeSJed Brown    dimension different from topological dimension.
172bcb2dfaeSJed Brown
173bcb2dfaeSJed Brown- {ref}`example-petsc-multigrid` ({file}`examples/petsc/multigrid.c`): new p-multigrid
174bcb2dfaeSJed Brown  solver with algebraic multigrid coarse solve.
175bcb2dfaeSJed Brown
176bcb2dfaeSJed Brown- {ref}`example-petsc-navier-stokes` ({file}`examples/fluids/navierstokes.c`; formerly
177bcb2dfaeSJed Brown  `examples/navier-stokes`): unstructured grid support (using PETSc's `DMPlex`),
178bcb2dfaeSJed Brown  implicit time integration, SU/SUPG stabilization, free-slip boundary conditions, and
179bcb2dfaeSJed Brown  quasi-2D computational domain support.
180bcb2dfaeSJed Brown
181bcb2dfaeSJed Brown- {ref}`example-petsc-elasticity` ({file}`examples/solids/elasticity.c`): new solver for
182bcb2dfaeSJed Brown  linear elasticity, small-strain hyperelasticity, and globalized finite-strain
183bcb2dfaeSJed Brown  hyperelasticity using p-multigrid with algebraic multigrid coarse solve.
184bcb2dfaeSJed Brown
185bcb2dfaeSJed Brown(v0-5)=
186bcb2dfaeSJed Brown
187bcb2dfaeSJed Brown## v0.5 (Sep 18, 2019)
188bcb2dfaeSJed Brown
189bcb2dfaeSJed BrownFor this release, several improvements were made. Two new CUDA backends were added to
190bcb2dfaeSJed Brownthe family of backends, of which, the new `cuda-gen` backend achieves state-of-the-art
191bcb2dfaeSJed Brownperformance using single-source {ref}`CeedQFunction`. From this release, users
192bcb2dfaeSJed Browncan define Q-Functions in a single source code independently of the targeted backend
193bcb2dfaeSJed Brownwith the aid of a new macro `CEED QFUNCTION` to support JIT (Just-In-Time) and CPU
194bcb2dfaeSJed Browncompilation of the user provided {ref}`CeedQFunction` code. To allow a unified
195bcb2dfaeSJed Browndeclaration, the {ref}`CeedQFunction` API has undergone a slight change:
196bcb2dfaeSJed Brownthe `QFunctionField` parameter `ncomp` has been changed to `size`. This change
197bcb2dfaeSJed Brownrequires setting the previous value of `ncomp` to `ncomp*dim` when adding a
198bcb2dfaeSJed Brown`QFunctionField` with eval mode `CEED EVAL GRAD`.
199bcb2dfaeSJed Brown
200bcb2dfaeSJed BrownAdditionally, new CPU backends
201bcb2dfaeSJed Brownwere included in this release, such as the `/cpu/self/opt/*` backends (which are
202bcb2dfaeSJed Brownwritten in pure C and use partial **E-vectors** to improve performance) and the
203bcb2dfaeSJed Brown`/cpu/self/ref/memcheck` backend (which relies upon the
204bcb2dfaeSJed Brown[Valgrind](http://valgrind.org/) Memcheck tool to help verify that user
205bcb2dfaeSJed Brown{ref}`CeedQFunction` have no undefined values).
206bcb2dfaeSJed BrownThis release also included various performance improvements, bug fixes, new examples,
207bcb2dfaeSJed Brownand improved tests. Among these improvements, vectorized instructions for
208bcb2dfaeSJed Brown{ref}`CeedQFunction` code compiled for CPU were enhanced by using `CeedPragmaSIMD`
209bcb2dfaeSJed Browninstead of `CeedPragmaOMP`, implementation of a {ref}`CeedQFunction` gallery and
210bcb2dfaeSJed Brownidentity Q-Functions were introduced, and the PETSc benchmark problems were expanded
211bcb2dfaeSJed Brownto include unstructured meshes handling were. For this expansion, the prior version of
212bcb2dfaeSJed Brownthe PETSc BPs, which only included data associated with structured geometries, were
213bcb2dfaeSJed Brownrenamed `bpsraw`, and the new version of the BPs, which can handle data associated
214bcb2dfaeSJed Brownwith any unstructured geometry, were called `bps`. Additionally, other benchmark
215bcb2dfaeSJed Brownproblems, namely BP2 and BP4 (the vector-valued versions of BP1 and BP3, respectively),
216bcb2dfaeSJed Brownand BP5 and BP6 (the collocated versions---for which the quadrature points are the same
217bcb2dfaeSJed Brownas the Gauss Lobatto nodes---of BP3 and BP4 respectively) were added to the PETSc
218bcb2dfaeSJed Brownexamples. Furthermoew, another standalone libCEED example, called `ex2`, which
219bcb2dfaeSJed Browncomputes the surface area of a given mesh was added to this release.
220bcb2dfaeSJed Brown
221bcb2dfaeSJed BrownBackends available in this release:
222bcb2dfaeSJed Brown
223*68e843eeSJed Brown| CEED resource (`-ceed`)  | Backend                                             |
224*68e843eeSJed Brown|--------------------------|-----------------------------------------------------|
225*68e843eeSJed Brown| `/cpu/self/ref/serial`   | Serial reference implementation                     |
226*68e843eeSJed Brown| `/cpu/self/ref/blocked`  | Blocked reference implementation                    |
227*68e843eeSJed Brown| `/cpu/self/ref/memcheck` | Memcheck backend, undefined value checks            |
228*68e843eeSJed Brown| `/cpu/self/opt/serial`   | Serial optimized C implementation                   |
229*68e843eeSJed Brown| `/cpu/self/opt/blocked`  | Blocked optimized C implementation                  |
230*68e843eeSJed Brown| `/cpu/self/avx/serial`   | Serial AVX implementation                           |
231*68e843eeSJed Brown| `/cpu/self/avx/blocked`  | Blocked AVX implementation                          |
232*68e843eeSJed Brown| `/cpu/self/xsmm/serial`  | Serial LIBXSMM implementation                       |
233*68e843eeSJed Brown| `/cpu/self/xsmm/blocked` | Blocked LIBXSMM implementation                      |
234*68e843eeSJed Brown| `/cpu/occa`              | Serial OCCA kernels                                 |
235*68e843eeSJed Brown| `/gpu/occa`              | CUDA OCCA kernels                                   |
236*68e843eeSJed Brown| `/omp/occa`              | OpenMP OCCA kernels                                 |
237*68e843eeSJed Brown| `/ocl/occa`              | OpenCL OCCA kernels                                 |
238*68e843eeSJed Brown| `/gpu/cuda/ref`          | Reference pure CUDA kernels                         |
239*68e843eeSJed Brown| `/gpu/cuda/reg`          | Pure CUDA kernels using one thread per element      |
240*68e843eeSJed Brown| `/gpu/cuda/shared`       | Optimized pure CUDA kernels using shared memory     |
241*68e843eeSJed Brown| `/gpu/cuda/gen`          | Optimized pure CUDA kernels using code generation   |
242*68e843eeSJed Brown| `/gpu/magma`             | CUDA MAGMA kernels                                  |
243bcb2dfaeSJed Brown
244bcb2dfaeSJed BrownExamples available in this release:
245bcb2dfaeSJed Brown
246*68e843eeSJed Brown:::{list-table}
247*68e843eeSJed Brown:header-rows: 1
248*68e843eeSJed Brown:widths: auto
249*68e843eeSJed Brown* - User code
250*68e843eeSJed Brown  - Example
251*68e843eeSJed Brown* - `ceed`
252*68e843eeSJed Brown  - * ex1 (volume)
253*68e843eeSJed Brown    * ex2 (surface)
254*68e843eeSJed Brown* - `mfem`
255*68e843eeSJed Brown  - * BP1 (scalar mass operator)
256*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
257*68e843eeSJed Brown* - `petsc`
258*68e843eeSJed Brown  - * BP1 (scalar mass operator)
259*68e843eeSJed Brown    * BP2 (vector mass operator)
260*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
261*68e843eeSJed Brown    * BP4 (vector Laplace operator)
262*68e843eeSJed Brown    * BP5 (collocated scalar Laplace operator)
263*68e843eeSJed Brown    * BP6 (collocated vector Laplace operator)
264*68e843eeSJed Brown    * Navier-Stokes
265*68e843eeSJed Brown* - `nek5000`
266*68e843eeSJed Brown  - * BP1 (scalar mass operator)
267*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
268*68e843eeSJed Brown:::
269bcb2dfaeSJed Brown
270bcb2dfaeSJed Brown(v0-4)=
271bcb2dfaeSJed Brown
272bcb2dfaeSJed Brown## v0.4 (Apr 1, 2019)
273bcb2dfaeSJed Brown
274bcb2dfaeSJed BrownlibCEED v0.4 was made again publicly available in the second full CEED software
275bcb2dfaeSJed Browndistribution, release CEED 2.0. This release contained notable features, such as
276bcb2dfaeSJed Brownfour new CPU backends, two new GPU backends, CPU backend optimizations, initial
277bcb2dfaeSJed Brownsupport for operator composition, performance benchmarking, and a Navier-Stokes demo.
278bcb2dfaeSJed BrownThe new CPU backends in this release came in two families. The `/cpu/self/*/serial`
279bcb2dfaeSJed Brownbackends process one element at a time and are intended for meshes with a smaller number
280bcb2dfaeSJed Brownof high order elements. The `/cpu/self/*/blocked` backends process blocked batches of
281bcb2dfaeSJed Browneight interlaced elements and are intended for meshes with higher numbers of elements.
282bcb2dfaeSJed BrownThe `/cpu/self/avx/*` backends rely upon AVX instructions to provide vectorized CPU
283bcb2dfaeSJed Brownperformance. The `/cpu/self/xsmm/*` backends rely upon the
284bcb2dfaeSJed Brown[LIBXSMM](http://github.com/hfp/libxsmm) package to provide vectorized CPU
285bcb2dfaeSJed Brownperformance. The `/gpu/cuda/*` backends provide GPU performance strictly using CUDA.
286bcb2dfaeSJed BrownThe `/gpu/cuda/ref` backend is a reference CUDA backend, providing reasonable
287bcb2dfaeSJed Brownperformance for most problem configurations. The `/gpu/cuda/reg` backend uses a simple
288bcb2dfaeSJed Brownparallelization approach, where each thread treats a finite element. Using just in time
289bcb2dfaeSJed Browncompilation, provided by nvrtc (NVidia Runtime Compiler), and runtime parameters, this
290bcb2dfaeSJed Brownbackend unroll loops and map memory address to registers. The `/gpu/cuda/reg` backend
291bcb2dfaeSJed Brownachieve good peak performance for 1D, 2D, and low order 3D problems, but performance
292bcb2dfaeSJed Browndeteriorates very quickly when threads run out of registers.
293bcb2dfaeSJed Brown
294bcb2dfaeSJed BrownA new explicit time-stepping Navier-Stokes solver was added to the family of libCEED
295bcb2dfaeSJed Brownexamples in the `examples/petsc` directory (see {ref}`example-petsc-navier-stokes`).
296bcb2dfaeSJed BrownThis example solves the time-dependent Navier-Stokes equations of compressible gas
297bcb2dfaeSJed Browndynamics in a static Eulerian three-dimensional frame, using structured high-order
298bcb2dfaeSJed Brownfinite/spectral element spatial discretizations and explicit high-order time-stepping
299bcb2dfaeSJed Brown(available in PETSc). Moreover, the Navier-Stokes example was developed using PETSc,
300bcb2dfaeSJed Brownso that the pointwise physics (defined at quadrature points) is separated from the
301bcb2dfaeSJed Brownparallelization and meshing concerns.
302bcb2dfaeSJed Brown
303bcb2dfaeSJed BrownBackends available in this release:
304bcb2dfaeSJed Brown
305*68e843eeSJed Brown| CEED resource (`-ceed`)  | Backend                                             |
306*68e843eeSJed Brown|--------------------------|-----------------------------------------------------|
307*68e843eeSJed Brown| `/cpu/self/ref/serial`   | Serial reference implementation                     |
308*68e843eeSJed Brown| `/cpu/self/ref/blocked`  | Blocked reference implementation                    |
309*68e843eeSJed Brown| `/cpu/self/tmpl`         | Backend template, defaults to `/cpu/self/blocked`   |
310*68e843eeSJed Brown| `/cpu/self/avx/serial`   | Serial AVX implementation                           |
311*68e843eeSJed Brown| `/cpu/self/avx/blocked`  | Blocked AVX implementation                          |
312*68e843eeSJed Brown| `/cpu/self/xsmm/serial`  | Serial LIBXSMM implementation                       |
313*68e843eeSJed Brown| `/cpu/self/xsmm/blocked` | Blocked LIBXSMM implementation                      |
314*68e843eeSJed Brown| `/cpu/occa`              | Serial OCCA kernels                                 |
315*68e843eeSJed Brown| `/gpu/occa`              | CUDA OCCA kernels                                   |
316*68e843eeSJed Brown| `/omp/occa`              | OpenMP OCCA kernels                                 |
317*68e843eeSJed Brown| `/ocl/occa`              | OpenCL OCCA kernels                                 |
318*68e843eeSJed Brown| `/gpu/cuda/ref`          | Reference pure CUDA kernels                         |
319*68e843eeSJed Brown| `/gpu/cuda/reg`          | Pure CUDA kernels using one thread per element      |
320*68e843eeSJed Brown| `/gpu/magma`             | CUDA MAGMA kernels                                  |
321bcb2dfaeSJed Brown
322bcb2dfaeSJed BrownExamples available in this release:
323bcb2dfaeSJed Brown
324*68e843eeSJed Brown:::{list-table}
325*68e843eeSJed Brown:header-rows: 1
326*68e843eeSJed Brown:widths: auto
327*68e843eeSJed Brown* - User code
328*68e843eeSJed Brown  - Example
329*68e843eeSJed Brown* - `ceed`
330*68e843eeSJed Brown  - * ex1 (volume)
331*68e843eeSJed Brown* - `mfem`
332*68e843eeSJed Brown  - * BP1 (scalar mass operator)
333*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
334*68e843eeSJed Brown* - `petsc`
335*68e843eeSJed Brown  - * BP1 (scalar mass operator)
336*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
337*68e843eeSJed Brown    * Navier-Stokes
338*68e843eeSJed Brown* - `nek5000`
339*68e843eeSJed Brown  - * BP1 (scalar mass operator)
340*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
341*68e843eeSJed Brown:::
342bcb2dfaeSJed Brown
343bcb2dfaeSJed Brown(v0-3)=
344bcb2dfaeSJed Brown
345bcb2dfaeSJed Brown## v0.3 (Sep 30, 2018)
346bcb2dfaeSJed Brown
347bcb2dfaeSJed BrownNotable features in this release include active/passive field interface, support for
348bcb2dfaeSJed Brownnon-tensor bases, backend optimization, and improved Fortran interface. This release
349bcb2dfaeSJed Brownalso focused on providing improved continuous integration, and many new tests with code
350bcb2dfaeSJed Browncoverage reports of about 90%. This release also provided a significant change to the
351bcb2dfaeSJed Brownpublic interface: a {ref}`CeedQFunction` can take any number of named input and output
352bcb2dfaeSJed Brownarguments while {ref}`CeedOperator` connects them to the actual data, which may be
353bcb2dfaeSJed Brownsupplied explicitly to `CeedOperatorApply()` (active) or separately via
354bcb2dfaeSJed Brown`CeedOperatorSetField()` (passive). This interface change enables reusable libraries
355bcb2dfaeSJed Brownof CeedQFunctions and composition of block solvers constructed using
356bcb2dfaeSJed Brown{ref}`CeedOperator`. A concept of blocked restriction was added to this release and
357bcb2dfaeSJed Brownused in an optimized CPU backend. Although this is typically not visible to the user,
358bcb2dfaeSJed Brownit enables effective use of arbitrary-length SIMD while maintaining cache locality.
359bcb2dfaeSJed BrownThis CPU backend also implements an algebraic factorization of tensor product gradients
360bcb2dfaeSJed Brownto perform fewer operations than standard application of interpolation and
361bcb2dfaeSJed Browndifferentiation from nodes to quadrature points. This algebraic formulation
362bcb2dfaeSJed Brownautomatically supports non-polynomial and non-interpolatory bases, thus is more general
363bcb2dfaeSJed Brownthan the more common derivation in terms of Lagrange polynomials on the quadrature points.
364bcb2dfaeSJed Brown
365bcb2dfaeSJed BrownBackends available in this release:
366bcb2dfaeSJed Brown
367*68e843eeSJed Brown| CEED resource (`-ceed`) | Backend                                             |
368*68e843eeSJed Brown|-------------------------|-----------------------------------------------------|
369*68e843eeSJed Brown| `/cpu/self/blocked`     | Blocked reference implementation                    |
370*68e843eeSJed Brown| `/cpu/self/ref`         | Serial reference implementation                     |
371*68e843eeSJed Brown| `/cpu/self/tmpl`        | Backend template, defaults to `/cpu/self/blocked`   |
372*68e843eeSJed Brown| `/cpu/occa`             | Serial OCCA kernels                                 |
373*68e843eeSJed Brown| `/gpu/occa`             | CUDA OCCA kernels                                   |
374*68e843eeSJed Brown| `/omp/occa`             | OpenMP OCCA kernels                                 |
375*68e843eeSJed Brown| `/ocl/occa`             | OpenCL OCCA kernels                                 |
376*68e843eeSJed Brown| `/gpu/magma`            | CUDA MAGMA kernels                                  |
377bcb2dfaeSJed Brown
378bcb2dfaeSJed BrownExamples available in this release:
379bcb2dfaeSJed Brown
380*68e843eeSJed Brown:::{list-table}
381*68e843eeSJed Brown:header-rows: 1
382*68e843eeSJed Brown:widths: auto
383*68e843eeSJed Brown* - User code
384*68e843eeSJed Brown  - Example
385*68e843eeSJed Brown* - `ceed`
386*68e843eeSJed Brown  - * ex1 (volume)
387*68e843eeSJed Brown* - `mfem`
388*68e843eeSJed Brown  - * BP1 (scalar mass operator)
389*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
390*68e843eeSJed Brown* - `petsc`
391*68e843eeSJed Brown  - * BP1 (scalar mass operator)
392*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
393*68e843eeSJed Brown* - `nek5000`
394*68e843eeSJed Brown  - * BP1 (scalar mass operator)
395*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
396*68e843eeSJed Brown:::
397bcb2dfaeSJed Brown
398bcb2dfaeSJed Brown(v0-21)=
399bcb2dfaeSJed Brown
400bcb2dfaeSJed Brown## v0.21 (Sep 30, 2018)
401bcb2dfaeSJed Brown
402bcb2dfaeSJed BrownA MAGMA backend (which relies upon the
403bcb2dfaeSJed Brown[MAGMA](https://bitbucket.org/icl/magma) package) was integrated in libCEED for this
404bcb2dfaeSJed Brownrelease. This initial integration set up the framework of using MAGMA and provided the
405bcb2dfaeSJed BrownlibCEED functionality through MAGMA kernels as one of libCEED’s computational backends.
406bcb2dfaeSJed BrownAs any other backend, the MAGMA backend provides extended basic data structures for
407bcb2dfaeSJed Brown{ref}`CeedVector`, {ref}`CeedElemRestriction`, and {ref}`CeedOperator`, and implements
408bcb2dfaeSJed Brownthe fundamental CEED building blocks to work with the new data structures.
409bcb2dfaeSJed BrownIn general, the MAGMA-specific data structures keep the libCEED pointers to CPU data
410bcb2dfaeSJed Brownbut also add corresponding device (e.g., GPU) pointers to the data. Coherency is handled
411bcb2dfaeSJed Browninternally, and thus seamlessly to the user, through the functions/methods that are
412bcb2dfaeSJed Brownprovided to support them.
413bcb2dfaeSJed Brown
414bcb2dfaeSJed BrownBackends available in this release:
415bcb2dfaeSJed Brown
416*68e843eeSJed Brown| CEED resource (`-ceed`) | Backend                         |
417*68e843eeSJed Brown|-------------------------|---------------------------------|
418*68e843eeSJed Brown| `/cpu/self`             | Serial reference implementation |
419*68e843eeSJed Brown| `/cpu/occa`             | Serial OCCA kernels             |
420*68e843eeSJed Brown| `/gpu/occa`             | CUDA OCCA kernels               |
421*68e843eeSJed Brown| `/omp/occa`             | OpenMP OCCA kernels             |
422*68e843eeSJed Brown| `/ocl/occa`             | OpenCL OCCA kernels             |
423*68e843eeSJed Brown| `/gpu/magma`            | CUDA MAGMA kernels              |
424bcb2dfaeSJed Brown
425bcb2dfaeSJed BrownExamples available in this release:
426bcb2dfaeSJed Brown
427*68e843eeSJed Brown:::{list-table}
428*68e843eeSJed Brown:header-rows: 1
429*68e843eeSJed Brown:widths: auto
430*68e843eeSJed Brown* - User code
431*68e843eeSJed Brown  - Example
432*68e843eeSJed Brown* - `ceed`
433*68e843eeSJed Brown  - * ex1 (volume)
434*68e843eeSJed Brown* - `mfem`
435*68e843eeSJed Brown  - * BP1 (scalar mass operator)
436*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
437*68e843eeSJed Brown* - `petsc`
438*68e843eeSJed Brown  - * BP1 (scalar mass operator)
439*68e843eeSJed Brown* - `nek5000`
440*68e843eeSJed Brown  - * BP1 (scalar mass operator)
441*68e843eeSJed Brown:::
442bcb2dfaeSJed Brown
443bcb2dfaeSJed Brown(v0-2)=
444bcb2dfaeSJed Brown
445bcb2dfaeSJed Brown## v0.2 (Mar 30, 2018)
446bcb2dfaeSJed Brown
447bcb2dfaeSJed BrownlibCEED was made publicly available the first full CEED software distribution, release
448bcb2dfaeSJed BrownCEED 1.0. The distribution was made available using the Spack package manager to provide
449bcb2dfaeSJed Browna common, easy-to-use build environment, where the user can build the CEED distribution
450bcb2dfaeSJed Brownwith all dependencies. This release included a new Fortran interface for the library.
451bcb2dfaeSJed BrownThis release also contained major improvements in the OCCA backend (including a new
452bcb2dfaeSJed Brown`/ocl/occa` backend) and new examples. The standalone libCEED example was modified to
453bcb2dfaeSJed Browncompute the volume volume of a given mesh (in 1D, 2D, or 3D) and placed in an
454bcb2dfaeSJed Brown`examples/ceed` subfolder. A new `mfem` example to perform BP3 (with the application
455bcb2dfaeSJed Brownof the Laplace operator) was also added to this release.
456bcb2dfaeSJed Brown
457bcb2dfaeSJed BrownBackends available in this release:
458bcb2dfaeSJed Brown
459*68e843eeSJed Brown| CEED resource (`-ceed`) | Backend                         |
460*68e843eeSJed Brown|-------------------------|---------------------------------|
461*68e843eeSJed Brown| `/cpu/self`             | Serial reference implementation |
462*68e843eeSJed Brown| `/cpu/occa`             | Serial OCCA kernels             |
463*68e843eeSJed Brown| `/gpu/occa`             | CUDA OCCA kernels               |
464*68e843eeSJed Brown| `/omp/occa`             | OpenMP OCCA kernels             |
465*68e843eeSJed Brown| `/ocl/occa`             | OpenCL OCCA kernels             |
466bcb2dfaeSJed Brown
467bcb2dfaeSJed BrownExamples available in this release:
468bcb2dfaeSJed Brown
469*68e843eeSJed Brown:::{list-table}
470*68e843eeSJed Brown:header-rows: 1
471*68e843eeSJed Brown:widths: auto
472*68e843eeSJed Brown* - User code
473*68e843eeSJed Brown  - Example
474*68e843eeSJed Brown* - `ceed`
475*68e843eeSJed Brown  - * ex1 (volume)
476*68e843eeSJed Brown* - `mfem`
477*68e843eeSJed Brown  - * BP1 (scalar mass operator)
478*68e843eeSJed Brown    * BP3 (scalar Laplace operator)
479*68e843eeSJed Brown* - `petsc`
480*68e843eeSJed Brown  - * BP1 (scalar mass operator)
481*68e843eeSJed Brown* - `nek5000`
482*68e843eeSJed Brown  - * BP1 (scalar mass operator)
483*68e843eeSJed Brown:::
484bcb2dfaeSJed Brown
485bcb2dfaeSJed Brown(v0-1)=
486bcb2dfaeSJed Brown
487bcb2dfaeSJed Brown## v0.1 (Jan 3, 2018)
488bcb2dfaeSJed Brown
489bcb2dfaeSJed BrownInitial low-level API of the CEED project. The low-level API provides a set of Finite
490bcb2dfaeSJed BrownElements kernels and components for writing new low-level kernels. Examples include:
491bcb2dfaeSJed Brownvector and sparse linear algebra, element matrix assembly over a batch of elements,
492bcb2dfaeSJed Brownpartial assembly and action for efficient high-order operators like mass, diffusion,
493bcb2dfaeSJed Brownadvection, etc. The main goal of the low-level API is to establish the basis for the
494bcb2dfaeSJed Brownhigh-level API. Also, identifying such low-level kernels and providing a reference
495bcb2dfaeSJed Brownimplementation for them serves as the basis for specialized backend implementations.
496bcb2dfaeSJed BrownThis release contained several backends: `/cpu/self`, and backends which rely upon the
497bcb2dfaeSJed Brown[OCCA](http://github.com/libocca/occa) package, such as `/cpu/occa`,
498bcb2dfaeSJed Brown`/gpu/occa`, and `/omp/occa`.
499bcb2dfaeSJed BrownIt also included several examples, in the `examples` folder:
500bcb2dfaeSJed BrownA standalone code that shows the usage of libCEED (with no external
501bcb2dfaeSJed Browndependencies) to apply the Laplace operator, `ex1`; an `mfem` example to perform BP1
502bcb2dfaeSJed Brown(with the application of the mass operator); and a `petsc` example to perform BP1
503bcb2dfaeSJed Brown(with the application of the mass operator).
504bcb2dfaeSJed Brown
505bcb2dfaeSJed BrownBackends available in this release:
506bcb2dfaeSJed Brown
507*68e843eeSJed Brown| CEED resource (`-ceed`) | Backend                         |
508*68e843eeSJed Brown|-------------------------|---------------------------------|
509*68e843eeSJed Brown| `/cpu/self`             | Serial reference implementation |
510*68e843eeSJed Brown| `/cpu/occa`             | Serial OCCA kernels             |
511*68e843eeSJed Brown| `/gpu/occa`             | CUDA OCCA kernels               |
512*68e843eeSJed Brown| `/omp/occa`             | OpenMP OCCA kernels             |
513bcb2dfaeSJed Brown
514bcb2dfaeSJed BrownExamples available in this release:
515bcb2dfaeSJed Brown
516bcb2dfaeSJed Brown| User code             | Example                           |
517*68e843eeSJed Brown|-----------------------|-----------------------------------|
518*68e843eeSJed Brown| `ceed`                | ex1 (scalar Laplace operator)     |
519*68e843eeSJed Brown| `mfem`                | BP1 (scalar mass operator)        |
520*68e843eeSJed Brown| `petsc`               | BP1 (scalar mass operator)        |
521bcb2dfaeSJed Brown```
522