liblldb-17
Next generation, high-performance debugger, library
LLDB is a next generation, high-performance debugger. It is built as a set of
reusable components which highly leverage existing libraries in the larger LLVM
Project, such as the Clang expression parser and LLVM disassembler.
libtrilinos-intrepid2-13.2
next generation compatible discretizations of PDEs - runtime files
Intrepid2 is an extension of Intrepid, a library of interoperable tools for
compatible discretizations of Partial Differential Equations (PDEs). Intrepid2
utilizes Kokkos dynamic rank views as the default multidimensional array type,
which enables the use of Intrepid2 on heterogeneous architectures.
libtrilinos-isorropia-13.2
partitioning, load balancing, coloring of sparse matrices - runtime files
Isorropia is a package for combinatorial scientific computing, with focus on
partitioning and load balancing, but also supports coloring and ordering of
sparse matrices. Its main purpose is to assist with redistributing objects
such as matrices and graphs in a parallel execution setting, to allow for more
efficient computations. Isorropia partitions matrices by rows, and produces
good maps for Epetra matrices (graphs).
libpapi7.1t64
PAPI runtime (shared libraries)
Performance Application Programming Interface (PAPI) provides the tool
designer and application engineer with a consistent interface and methodology
for use of the performance counter hardware found in most major
microprocessors. PAPI enables software engineers to see, in near real time,
the relation between software performance and processor events.
libaccinj64-11.5
NVIDIA ACCINJ Library (64-bit)
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
libtrilinos-kokkos-kernels-13.2
Kokkos local computational kernels - runtime files
KokkosKernels implements local computational kernels for linear algebra and
graph operations, using the Kokkos shared-memory parallel programming model.
"Local" means not using MPI, or running within a single MPI process without
knowing about MPI. "Computational kernels" are coarse-grained operations;
they take a lot of work and make sense to parallelize inside using Kokkos.
KokkosKernels can be the building block of a parallel linear algebra library
like Tpetra that uses MPI and threads for parallelism, or it can be used
stand-alone in your application.