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.