Lines Matching full:using

94 Some users previously misinterpreted a `CeedOperator` field using `CEED_BASIS_COLLOCATED` as meanin…
269 …reation of multigrid prolongation, restriction, and coarse grid operators using a common quadratur…
298 - New Python interface using [CFFI](https://cffi.readthedocs.io/) provides a nearly
307 - The inverse of separable operators can be obtained using
315 - QFunctions using variable-length array (VLA) pointer constructs can be used with CUDA
362   `examples/navier-stokes`): unstructured grid support (using PETSc's `DMPlex`),
368   hyperelasticity using p-multigrid with algebraic multigrid coarse solve.
376 performance using single-source {ref}`CeedQFunction`. From this release, users
393 {ref}`CeedQFunction` code compiled for CPU were enhanced by using `CeedPragmaSIMD`
424 | `/gpu/cuda/reg`          | Pure CUDA kernels using one thread per element      |
425 | `/gpu/cuda/shared`       | Optimized pure CUDA kernels using shared memory     |
426 | `/gpu/cuda/gen`          | Optimized pure CUDA kernels using code generation   |
470 performance. The `/gpu/cuda/*` backends provide GPU performance strictly using CUDA.
473 parallelization approach, where each thread treats a finite element. Using just in time
482 dynamics in a static Eulerian three-dimensional frame, using structured high-order
484 (available in PETSc). Moreover, the Navier-Stokes example was developed using PETSc,
504 | `/gpu/cuda/reg`          | Pure CUDA kernels using one thread per element      |
540 of CeedQFunctions and composition of block solvers constructed using
589 release. This initial integration set up the framework of using MAGMA and provided the
633 CEED 1.0. The distribution was made available using the Spack package manager to provide