Changes/Release Notes¶
On this page we provide a summary of the main API changes, new features and examples for each release of libCEED.
Current main
branch¶
Interface changes¶
Update
CeedOperatorContext*
functions toCeedOperator*Context*
functions for consistency. For example,CeedOperatorContextGetFieldLabel
was renamed toCeedOperatorGetContextFieldLabel
.
New features¶
Added
CeedOperatorGetFieldByName()
to access a specificCeedOperatorField
by its nameUpdate
/cpu/self/memcheck/*
backends to help verifyCeedVector
array access assumptions andCeedQFunction
user output assumptions.Update
CeedOperatorLinearAssembleDiagonal()
to provide default implementation that supportsCeedOperator
with multiple active bases.
Examples¶
Bakeoff problems and generalizations¶
Requires PETSc version 3.19 or later
v0.11 (Dec 24, 2022)¶
Interface changes¶
Added
CeedOperatorSetName()
for more readableCeedOperatorView()
output.Added
CeedBasisCreateProjection()
to facilitate interpolation between nodes for separateCeedBases
.Rename and move
CeedCompositeOperatorGetNumSub()
andCeedCompositeOperatorGetSubList()
to public interface.
New features¶
Update
/cpu/self/memcheck/*
backends to help verifyCeedQFunctionContext
data sizes provided by user.Improved support for \(H(\text{div})\) bases.
Added
CeedInt_FMT
to support potential future use of larger integer sizes.Added
CEED_QFUNCTION_ATTR
for setting compiler attributes/pragmas toCEED_QFUNCTION_HELPER
andCEED_QFUNCTION
.OCCA backend updated to latest OCCA release; DPC++ and OMP OCCA modes enabled. Due to a limitation of the OCCA parser, typedefs are required to use pointers to arrays in QFunctions with the OCCA backend. This issue will be fixed in a future OCCA release.
Bugfix¶
Fix bug in setting device id for GPU backends.
Fix storing of indices for
CeedElemRestriction
on the host with GPU backends.Fix
CeedElemRestriction
sizing forCeedOperatorAssemblePointBlockDiagonal()
.Fix bugs in CPU implementation of
CeedOperatorLinearAssemble()
when there are different number of active input modes and active output modes.
Examples¶
Bakeoff problems and generalizations¶
Support for convergence studies.
Maintainability¶
Refactored
/gpu/cuda/shared
and/gpu/cuda/gen
as well as/gpu/hip/shared
and/gpu/hip/gen
backend to improve maintainablity and reduce duplicated code.Enabled support for
p > 8
for/gpu/*/shared
backends.Switch to
clang-format
overastyle
for automatic formatting; Makefile command changed tomake format
frommake style
.Improved test harness.
v0.10.1 (Apr 11, 2022)¶
Interface changes¶
Added
CeedQFunctionSetUserFlopsEstimate()
andCeedOperatorGetFlopsEstimate()
to facilitate estimating FLOPs in operator application.
New features¶
Switched MAGMA backends to use runtime compilation for tensor basis kernels (and element restriction kernels, in non-deterministic
/gpu/*/magma
backends). This reduces time to compile the library and increases the range of parameters for which the MAGMA tensor basis kernels will work.
Bugfix¶
Install JiT source files in install directory to fix GPU functionality for installed libCEED.
v0.10 (Mar 21, 2022)¶
Interface changes¶
Update
CeedQFunctionGetFields()
andCeedOperatorGetFields()
to include number of fields.Promote to the public API: QFunction and Operator field objects,
CeedQFunctionField
andCeedOperatorField
, and associated getters,CeedQFunctionGetFields()
;CeedQFunctionFieldGetName()
;CeedQFunctionFieldGetSize()
;CeedQFunctionFieldGetEvalMode()
;CeedOperatorGetFields()
;CeedOperatorFieldGetElemRestriction()
;CeedOperatorFieldGetBasis()
; andCeedOperatorFieldGetVector()
.Clarify and document conditions where
CeedQFunction
andCeedOperator
become immutable and no further fields or suboperators can be added.Add
CeedOperatorLinearAssembleQFunctionBuildOrUpdate()
to reduce object creation overhead in assembly of CeedOperator preconditioning ingredients.Promote
CeedOperatorCheckReady()
to the public API to facilitate interactive interfaces.Warning added when compiling OCCA backend to alert users that this backend is experimental.
ceed-backend.h
,ceed-hash.h
, andceed-khash.h
removed. Users should useceed/backend.h
,ceed/hash.h
, andceed/khash.h
.Added
CeedQFunctionGetKernelName()
; refactoredCeedQFunctionGetSourcePath()
to exclude function kernel name.Clarify documentation for
CeedVectorTakeArray()
; this function will error ifCeedVectorSetArray()
withcopy_mode == CEED_USE_POINTER
was not previously called for the correspondingCeedMemType
.Added
CeedVectorGetArrayWrite()
that allows access to uninitalized arrays; require initalized data forCeedVectorGetArray()
.Added
CeedQFunctionContextRegisterDouble()
andCeedQFunctionContextRegisterInt32()
withCeedQFunctionContextSetDouble()
andCeedQFunctionContextSetInt32()
to facilitate easy updating ofCeedQFunctionContext
data by user defined field names.Added
CeedQFunctionContextGetFieldDescriptions()
to retreive user defined descriptions of fields that are registered withCeedQFunctionContextRegister*
.Renamed
CeedElemTopology
entries for clearer namespacing between libCEED enums.Added type
CeedSize
equivalent toptrdiff_t
for array sizes inCeedVectorCreate()
,CeedVectorGetLength()
,CeedElemRestrictionCreate*
,CeedElemRestrictionGetLVectorSize()
, andCeedOperatorLinearAssembleSymbolic()
. This is a breaking change.Added
CeedOperatorSetQFunctionUpdated()
to facilitate QFunction data re-use between operators sharing the same quadrature space, such as in a multigrid hierarchy.Added
CeedOperatorGetActiveVectorLengths()
to get shape of CeedOperator.
New features¶
CeedScalar
can now be set asfloat
ordouble
at compile time.Added JiT utilities in
ceed/jit-tools.h
to reduce duplicated code in GPU backends.Added support for JiT of QFunctions with
#include "relative/path/local-file.h"
statements for additional local files. Note that files included with""
are searched relative to the current file first, then by compiler paths (as with<>
includes). To use this feature, one should adhere to relative paths only, not compiler flags like-I
, which the JiT will not be aware of.Remove need to guard library headers in QFunction source for code generation backends.
CeedDebugEnv()
macro created to provide debugging outputs when Ceed context is not present.Added
CeedStringAllocCopy()
to reduce repeated code for copying strings internally.Added
CeedPathConcatenate()
to facilitate loading kernel source files with a path relative to the current file.Added support for non-tensor H(div) elements, to include CPU backend implementations and
CeedBasisCreateHdiv()
convenience constructor.Added
CeedQFunctionSetContextWritable()
and read-only access toCeedQFunctionContext
data as an optional feature to improve GPU performance. By default, calling theCeedQFunctionUser
duringCeedQFunctionApply()
is assumed to write into theCeedQFunctionContext
data, consistent with the previous behavior. Note that if a user asserts that theirCeedQFunctionUser
does not write into theCeedQFunctionContext
data, they are responsible for the validity of this assertion.Added support for element matrix assembly in GPU backends.
Maintainability¶
Refactored preconditioner support internally to facilitate future development and improve GPU completeness/test coverage.
Include-what-you-use
makefile target added asmake iwyu
.Create backend constant
CEED_FIELD_MAX
to reduce magic numbers in codebase.Put GPU JiTed kernel source code into separate files.
Dropped legacy version support in PETSc based examples to better utilize PETSc DMPlex and Mat updates to support libCEED; current minimum PETSc version for the examples is v3.17.
v0.9 (Jul 6, 2021)¶
Interface changes¶
Minor modification in error handling macro to silence pedantic warnings when compiling with Clang, but no functional impact.
New features¶
Add
CeedVectorAXPY()
andCeedVectorPointwiseMult()
as a convenience for stand-alone testing and internal use.Add
CEED_QFUNCTION_HELPER
macro to properly annotate QFunction helper functions for code generation backends.Add
CeedPragmaOptimizeOff
macro for code that is sensitive to floating point errors from fast math optimizations.Rust support: split
libceed-sys
crate out oflibceed
and publish both on crates.io.
Performance improvements¶
Examples¶
Solid mechanics mini-app updated to explore the performance impacts of various formulations in the initial and current configurations.
Fluid mechanics example adds GPU support and improves modularity.
Deprecated backends¶
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.
v0.8 (Mar 31, 2021)¶
Interface changes¶
Error handling improved to include enumerated error codes for C interface return values.
Installed headers that will follow semantic versioning were moved to
include/ceed
directory. These headers have been renamed fromceed-*.h
toceed/*.h
. Placeholder headers with the old naming schema are currently provided, but these headers will be removed in the libCEED v0.9 release.
New features¶
Julia and Rust interfaces added, providing a nearly 1-1 correspondence with the C interface, plus some convenience features.
Static libraries can be built with
make STATIC=1
and the pkg-config file is installed accordingly.Add
CeedOperatorLinearAssembleSymbolic()
andCeedOperatorLinearAssemble()
to support full assembly of libCEED operators.
Performance improvements¶
New HIP MAGMA backends for hipMAGMA library users:
/gpu/hip/magma
and/gpu/hip/magma/det
.New HIP backends for improved tensor basis performance:
/gpu/hip/shared
and/gpu/hip/gen
.
Examples¶
Solid mechanics mini-app example updated with traction boundary conditions and improved Dirichlet boundary conditions.
Solid mechanics mini-app example updated with Neo-Hookean hyperelasticity in current configuration as well as improved Neo-Hookean hyperelasticity exploring storage vs computation tradeoffs.
Compressible Navier-Stokes mini-app 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.
Compressible Navier-Stokes mini-app example updated with support for performing convergence study and plotting order of convergence by polynomial degree.
v0.7 (Sep 29, 2020)¶
Interface changes¶
Replace limited
CeedInterlaceMode
with more flexible component stridecompstride
inCeedElemRestriction
constructors. As a result, theindices
parameter has been replaced withoffsets
and thennodes
parameter has been replaced withlsize
. These changes improve support for mixed finite element methods.Replace various uses of
Ceed*Get*Status
withCeed*Is*
in the backend API to match common nomenclature.Replace
CeedOperatorAssembleLinearDiagonal
withCeedOperatorLinearAssembleDiagonal()
for clarity.Linear Operators can be assembled as point-block diagonal matrices with
CeedOperatorLinearAssemblePointBlockDiagonal()
, provided in row-major form in ancomp
byncomp
block per node.Diagonal assemble interface changed to accept a CeedVector instead of a pointer to a CeedVector to reduce memory movement when interfacing with calling code.
Added
CeedOperatorLinearAssembleAddDiagonal()
andCeedOperatorLinearAssembleAddPointBlockDiagonal()
for improved future integration with codes such as MFEM that compose the action of CeedOperators external to libCEED.Added
CeedVectorTakeAray()
to sync and remove libCEED read/write access to an allocated array and pass ownership of the array to the caller. This function is recommended overCeedVectorSyncArray()
when theCeedVector
has an array owned by the caller that was set byCeedVectorSetArray()
.Added
CeedQFunctionContext
object to manage user QFunction context data and reduce copies between device and host memory.Added
CeedOperatorMultigridLevelCreate()
,CeedOperatorMultigridLevelCreateTensorH1()
, andCeedOperatorMultigridLevelCreateH1()
to facilitate creation of multigrid prolongation, restriction, and coarse grid operators using a common quadrature space.
New features¶
New HIP backend:
/gpu/hip/ref
.CeedQFunction support for user
CUfunction
s in some backends
Performance improvements¶
OCCA backend rebuilt to facilitate future performance enhancements.
Petsc BPs suite improved to reduce noise due to multiple calls to
mpiexec
.
Examples¶
Solid mechanics mini-app example updated with strain energy computation and more flexible boundary conditions.
Deprecated backends¶
The
/gpu/cuda/reg
backend has been removed, with its core features moved into/gpu/cuda/ref
and/gpu/cuda/shared
.
v0.6 (Mar 29, 2020)¶
libCEED v0.6 contains numerous new features and examples, as well as expanded documentation in this new website.
New features¶
New Python interface using CFFI provides a nearly 1-1 correspondence with the C interface, plus some convenience features. For instance, data stored in the
CeedVector
structure are available without copy asnumpy.ndarray
. Short tutorials are provided in Binder.Linear QFunctions can be assembled as block-diagonal matrices (per quadrature point,
CeedOperatorAssembleLinearQFunction()
) or to evaluate the diagonal (CeedOperatorAssembleLinearDiagonal()
). These operations are useful for preconditioning ingredients and are used in the libCEED’s multigrid examples.The inverse of separable operators can be obtained using
CeedOperatorCreateFDMElementInverse()
and applied withCeedOperatorApply()
. This is a useful preconditioning ingredient, especially for Laplacians and related operators.New functions:
CeedVectorNorm()
,CeedOperatorApplyAdd()
,CeedQFunctionView()
,CeedOperatorView()
.Make public accessors for various attributes to facilitate writing composable code.
New backend:
/cpu/self/memcheck/serial
.QFunctions using variable-length array (VLA) pointer constructs can be used with CUDA backends. (Single source is coming soon for OCCA backends.)
Fix some missing edge cases in CUDA backend.
Performance Improvements¶
MAGMA backend performance optimization and non-tensor bases.
No-copy optimization in
CeedOperatorApply()
.
Interface changes¶
Replace
CeedElemRestrictionCreateIdentity
andCeedElemRestrictionCreateBlocked
with more flexibleCeedElemRestrictionCreateStrided()
andCeedElemRestrictionCreateBlockedStrided()
.Add arguments to
CeedQFunctionCreateIdentity()
.Replace ambiguous uses of
CeedTransposeMode
for L-vector identification withCeedInterlaceMode
. This is now an attribute of theCeedElemRestriction
(seeCeedElemRestrictionCreate()
) and no longer passed aslmode
arguments toCeedOperatorSetField()
andCeedElemRestrictionApply()
.
Examples¶
libCEED-0.6 contains greatly expanded examples with new documentation. Notable additions include:
Standalone Ex2-Surface (
examples/ceed/ex2-surface
): compute the area of a domain in 1, 2, and 3 dimensions by applying a Laplacian.PETSc Area (
examples/petsc/area.c
): computes surface area of domains (like the cube and sphere) by direct integration on a surface mesh; demonstrates geometric dimension different from topological dimension.PETSc Bakeoff problems and generalizations:
examples/petsc/bpsraw.c
(formerlybps.c
): transparent CUDA support.examples/petsc/bps.c
(formerlybpsdmplex.c
): performance improvements and transparent CUDA support.Bakeoff problems on the cubed-sphere (
examples/petsc/bpssphere.c
): generalizations of all CEED BPs to the surface of the sphere; demonstrates geometric dimension different from topological dimension.
Multigrid (
examples/petsc/multigrid.c
): new p-multigrid solver with algebraic multigrid coarse solve.Compressible Navier-Stokes mini-app (
examples/fluids/navierstokes.c
; formerlyexamples/navier-stokes
): unstructured grid support (using PETSc’sDMPlex
), implicit time integration, SU/SUPG stabilization, free-slip boundary conditions, and quasi-2D computational domain support.Solid mechanics mini-app (
examples/solids/elasticity.c
): new solver for linear elasticity, small-strain hyperelasticity, and globalized finite-strain hyperelasticity using p-multigrid with algebraic multigrid coarse solve.
v0.5 (Sep 18, 2019)¶
For this release, several improvements were made. Two new CUDA backends were added to
the family of backends, of which, the new cuda-gen
backend achieves state-of-the-art
performance using single-source CeedQFunction. From this release, users
can define Q-Functions in a single source code independently of the targeted backend
with the aid of a new macro CEED QFUNCTION
to support JIT (Just-In-Time) and CPU
compilation of the user provided CeedQFunction code. To allow a unified
declaration, the CeedQFunction API has undergone a slight change:
the QFunctionField
parameter ncomp
has been changed to size
. This change
requires setting the previous value of ncomp
to ncomp*dim
when adding a
QFunctionField
with eval mode CEED EVAL GRAD
.
Additionally, new CPU backends
were included in this release, such as the /cpu/self/opt/*
backends (which are
written in pure C and use partial E-vectors to improve performance) and the
/cpu/self/ref/memcheck
backend (which relies upon the
Valgrind Memcheck tool to help verify that user
CeedQFunction have no undefined values).
This release also included various performance improvements, bug fixes, new examples,
and improved tests. Among these improvements, vectorized instructions for
CeedQFunction code compiled for CPU were enhanced by using CeedPragmaSIMD
instead of CeedPragmaOMP
, implementation of a CeedQFunction gallery and
identity Q-Functions were introduced, and the PETSc benchmark problems were expanded
to include unstructured meshes handling were. For this expansion, the prior version of
the PETSc BPs, which only included data associated with structured geometries, were
renamed bpsraw
, and the new version of the BPs, which can handle data associated
with any unstructured geometry, were called bps
. Additionally, other benchmark
problems, namely BP2 and BP4 (the vector-valued versions of BP1 and BP3, respectively),
and BP5 and BP6 (the collocated versions—for which the quadrature points are the same
as the Gauss Lobatto nodes—of BP3 and BP4 respectively) were added to the PETSc
examples. Furthermoew, another standalone libCEED example, called ex2
, which
computes the surface area of a given mesh was added to this release.
Backends available in this release:
CEED resource ( |
Backend |
---|---|
|
Serial reference implementation |
|
Blocked reference implementation |
|
Memcheck backend, undefined value checks |
|
Serial optimized C implementation |
|
Blocked optimized C implementation |
|
Serial AVX implementation |
|
Blocked AVX implementation |
|
Serial LIBXSMM implementation |
|
Blocked LIBXSMM implementation |
|
Serial OCCA kernels |
|
CUDA OCCA kernels |
|
OpenMP OCCA kernels |
|
OpenCL OCCA kernels |
|
Reference pure CUDA kernels |
|
Pure CUDA kernels using one thread per element |
|
Optimized pure CUDA kernels using shared memory |
|
Optimized pure CUDA kernels using code generation |
|
CUDA MAGMA kernels |
Examples available in this release:
User code |
Example |
---|---|
|
|
|
|
|
|
|
|
v0.4 (Apr 1, 2019)¶
libCEED v0.4 was made again publicly available in the second full CEED software
distribution, release CEED 2.0. This release contained notable features, such as
four new CPU backends, two new GPU backends, CPU backend optimizations, initial
support for operator composition, performance benchmarking, and a Navier-Stokes demo.
The new CPU backends in this release came in two families. The /cpu/self/*/serial
backends process one element at a time and are intended for meshes with a smaller number
of high order elements. The /cpu/self/*/blocked
backends process blocked batches of
eight interlaced elements and are intended for meshes with higher numbers of elements.
The /cpu/self/avx/*
backends rely upon AVX instructions to provide vectorized CPU
performance. The /cpu/self/xsmm/*
backends rely upon the
LIBXSMM package to provide vectorized CPU
performance. The /gpu/cuda/*
backends provide GPU performance strictly using CUDA.
The /gpu/cuda/ref
backend is a reference CUDA backend, providing reasonable
performance for most problem configurations. The /gpu/cuda/reg
backend uses a simple
parallelization approach, where each thread treats a finite element. Using just in time
compilation, provided by nvrtc (NVidia Runtime Compiler), and runtime parameters, this
backend unroll loops and map memory address to registers. The /gpu/cuda/reg
backend
achieve good peak performance for 1D, 2D, and low order 3D problems, but performance
deteriorates very quickly when threads run out of registers.
A new explicit time-stepping Navier-Stokes solver was added to the family of libCEED
examples in the examples/petsc
directory (see Compressible Navier-Stokes mini-app).
This example solves the time-dependent Navier-Stokes equations of compressible gas
dynamics in a static Eulerian three-dimensional frame, using structured high-order
finite/spectral element spatial discretizations and explicit high-order time-stepping
(available in PETSc). Moreover, the Navier-Stokes example was developed using PETSc,
so that the pointwise physics (defined at quadrature points) is separated from the
parallelization and meshing concerns.
Backends available in this release:
CEED resource ( |
Backend |
---|---|
|
Serial reference implementation |
|
Blocked reference implementation |
|
Backend template, defaults to |
|
Serial AVX implementation |
|
Blocked AVX implementation |
|
Serial LIBXSMM implementation |
|
Blocked LIBXSMM implementation |
|
Serial OCCA kernels |
|
CUDA OCCA kernels |
|
OpenMP OCCA kernels |
|
OpenCL OCCA kernels |
|
Reference pure CUDA kernels |
|
Pure CUDA kernels using one thread per element |
|
CUDA MAGMA kernels |
Examples available in this release:
User code |
Example |
---|---|
|
|
|
|
|
|
|
|
v0.3 (Sep 30, 2018)¶
Notable features in this release include active/passive field interface, support for
non-tensor bases, backend optimization, and improved Fortran interface. This release
also focused on providing improved continuous integration, and many new tests with code
coverage reports of about 90%. This release also provided a significant change to the
public interface: a CeedQFunction can take any number of named input and output
arguments while CeedOperator connects them to the actual data, which may be
supplied explicitly to CeedOperatorApply()
(active) or separately via
CeedOperatorSetField()
(passive). This interface change enables reusable libraries
of CeedQFunctions and composition of block solvers constructed using
CeedOperator. A concept of blocked restriction was added to this release and
used in an optimized CPU backend. Although this is typically not visible to the user,
it enables effective use of arbitrary-length SIMD while maintaining cache locality.
This CPU backend also implements an algebraic factorization of tensor product gradients
to perform fewer operations than standard application of interpolation and
differentiation from nodes to quadrature points. This algebraic formulation
automatically supports non-polynomial and non-interpolatory bases, thus is more general
than the more common derivation in terms of Lagrange polynomials on the quadrature points.
Backends available in this release:
CEED resource ( |
Backend |
---|---|
|
Blocked reference implementation |
|
Serial reference implementation |
|
Backend template, defaults to |
|
Serial OCCA kernels |
|
CUDA OCCA kernels |
|
OpenMP OCCA kernels |
|
OpenCL OCCA kernels |
|
CUDA MAGMA kernels |
Examples available in this release:
User code |
Example |
---|---|
|
|
|
|
|
|
|
|
v0.21 (Sep 30, 2018)¶
A MAGMA backend (which relies upon the MAGMA package) was integrated in libCEED for this release. This initial integration set up the framework of using MAGMA and provided the libCEED functionality through MAGMA kernels as one of libCEED’s computational backends. As any other backend, the MAGMA backend provides extended basic data structures for CeedVector, CeedElemRestriction, and CeedOperator, and implements the fundamental CEED building blocks to work with the new data structures. In general, the MAGMA-specific data structures keep the libCEED pointers to CPU data but also add corresponding device (e.g., GPU) pointers to the data. Coherency is handled internally, and thus seamlessly to the user, through the functions/methods that are provided to support them.
Backends available in this release:
CEED resource ( |
Backend |
---|---|
|
Serial reference implementation |
|
Serial OCCA kernels |
|
CUDA OCCA kernels |
|
OpenMP OCCA kernels |
|
OpenCL OCCA kernels |
|
CUDA MAGMA kernels |
Examples available in this release:
User code |
Example |
---|---|
|
|
|
|
|
|
|
|
v0.2 (Mar 30, 2018)¶
libCEED was made publicly available the first full CEED software distribution, release
CEED 1.0. The distribution was made available using the Spack package manager to provide
a common, easy-to-use build environment, where the user can build the CEED distribution
with all dependencies. This release included a new Fortran interface for the library.
This release also contained major improvements in the OCCA backend (including a new
/ocl/occa
backend) and new examples. The standalone libCEED example was modified to
compute the volume volume of a given mesh (in 1D, 2D, or 3D) and placed in an
examples/ceed
subfolder. A new mfem
example to perform BP3 (with the application
of the Laplace operator) was also added to this release.
Backends available in this release:
CEED resource ( |
Backend |
---|---|
|
Serial reference implementation |
|
Serial OCCA kernels |
|
CUDA OCCA kernels |
|
OpenMP OCCA kernels |
|
OpenCL OCCA kernels |
Examples available in this release:
User code |
Example |
---|---|
|
|
|
|
|
|
|
|
v0.1 (Jan 3, 2018)¶
Initial low-level API of the CEED project. The low-level API provides a set of Finite
Elements kernels and components for writing new low-level kernels. Examples include:
vector and sparse linear algebra, element matrix assembly over a batch of elements,
partial assembly and action for efficient high-order operators like mass, diffusion,
advection, etc. The main goal of the low-level API is to establish the basis for the
high-level API. Also, identifying such low-level kernels and providing a reference
implementation for them serves as the basis for specialized backend implementations.
This release contained several backends: /cpu/self
, and backends which rely upon the
OCCA package, such as /cpu/occa
,
/gpu/occa
, and /omp/occa
.
It also included several examples, in the examples
folder:
A standalone code that shows the usage of libCEED (with no external
dependencies) to apply the Laplace operator, ex1
; an mfem
example to perform BP1
(with the application of the mass operator); and a petsc
example to perform BP1
(with the application of the mass operator).
Backends available in this release:
CEED resource ( |
Backend |
---|---|
|
Serial reference implementation |
|
Serial OCCA kernels |
|
CUDA OCCA kernels |
|
OpenMP OCCA kernels |
Examples available in this release:
User code |
Example |
---|---|
|
ex1 (scalar Laplace operator) |
|
BP1 (scalar mass operator) |
|
BP1 (scalar mass operator) |