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qr_mumps is a software package for the solution of sparse, linear systems on multicore computers based on the QR factorization of the input matrix. Therefore, it is suited to solving sparse least-squares problems and to computing the minimum-norm solution of sparse,underdetermined problems. It can obviously be used for solving square problems in which case the stability provided by the use of orthogonal transformations comes at the cost of a higher operation count with respect to solvers based on, e.g., the LU factorization. qr_mumps supports real and complex, single or double precision arithmetic. This is an experimental version of the package for distributed memory.
Resolution of the Euler system through a finite volume approach on structured grids and making use of the StarPU runtime system. Work in progress : (i) resolution through a discontinuous Galerkin approach , and (ii) consideration of a source term in a multi-species reactive framework.
Resolution of the Euler system through a finite volume approach on structured grids and making use of the StarPU runtime system. Work in progress : (i) resolution through a discontinuous Galerkin approach , and (ii) consideration of a source term in a multi-species reactive framework.
un super logiciel de simulation d'electromagnetique qui passe a l'echelle
un super logiciel de simulation d'electromagnetique qui passe a l'echelle
un super logiciel de simulation d'electromagnetique qui passe a l'echelle
hou10ni is a DG wave propagation simulating library
un super logiciel de simulation d'electromagnetique qui passe a l'echelle
StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.
StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.
StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.
CHAI is a C++ libary providing an array object that can be used transparently in multiple memory spaces. Data is automatically migrated based on copy-construction, allowing for correct data access regardless of location. CHAI can be used standalone, but is best when paired with the RAJA library, which has built-in CHAI integration that takes care of everything
SuiteSparse is a suite of sparse matrix algorithms, including: UMFPACK, multifrontal LU factorization; CHOLMOD, supernodal Cholesky; SPQR, multifrontal QR; KLU and BTF, sparse LU factorization, well-suited for circuit simulation; ordering methods (AMD, CAMD, COLAMD, and CCOLAMD); CSparse and CXSparse, a concise sparse Cholesky factorization package; and many other packages.
This package contains all of the above-mentioned parts.
CAMP collects a variety of macros and metaprogramming facilities for C++ projects. It's in the direction of projects like metal (a major influence) but with a focus on wide compiler compatibility across HPC-oriented systems.
HYPRE is a software library of high performance preconditioners and solvers for the solution of large, sparse linear systems of equations. It features multigrid solvers for both structured and unstructured grid problems.
HYPRE is a software library of high performance preconditioners and solvers for the solution of large, sparse linear systems of equations. It features multigrid solvers for both structured and unstructured grid problems.
RAJA offers portable, parallel loop execution by providing building blocks that extend the generally-accepted parallel for idiom. RAJA relies on standard C++14 features.
This package provides the CUDA compiler and the CUDA run-time support libraries for NVIDIA GPUs, all of which are proprietary.
This package provides the CUDA compiler and the CUDA run-time support libraries for NVIDIA GPUs, all of which are proprietary.
This package provides the CUDA compiler and the CUDA run-time support libraries for NVIDIA GPUs, all of which are proprietary.
This package provides the CUDA compiler and the CUDA run-time support libraries for NVIDIA GPUs, all of which are proprietary.
The GNU Scientific Library is a library for numerical analysis in C and C++. It includes a wide range of mathematical routines, with over 1000 functions in total. Subject areas covered by the library include: differential equations, linear algebra, Fast Fourier Transforms and random numbers.
HDF5 is a suite that makes possible the management of extremely large and complex data collections.
A collection of libraries intended to be widely useful, and usable across a broad spectrum of applications.