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ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes developed in our lab.
ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes developed in our lab.
SuperLU_DIST is a parallel extension to the serial SuperLU library. It is targeted for distributed memory parallel machines. SuperLU_DIST is implemented in ANSI C, and MPI for communications.
ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes developed in our lab.
ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes developed in our lab.
This CUDA C++ Core Libraries (CCCL) unifies three essential CUDA C++ libraries into a single, convenient repository: Thrust, CUB and libcudacxx. The goal of CCCL is to provide CUDA C++ developers with building blocks that make it easier to write safe and efficient code. Bringing these libraries together streamlines your development process and broadens your ability to leverage the power of CUDA C++.
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.
Find a file or directory by walking up parent directories
Strip comments from JSON. Lets you use comments in your JSON files!
Language Server Protocol (LSP) implementation for TypeScript using tsserver
Runtime for Regenerator-compiled generator and async functions.
Browser-friendly inheritance fully compatible with standard node.js inherits()
Minimal module to check if a file is executable.
Get the path of the parent module
A super light and fast circular JSON parser.
option parsing and help generation
Compare strings containing a mix of letters and numbers in the way a human being would in sort order.
a glob matcher in javascript
Regular expression for matching a shebang line
An AST-based pattern checker for JavaScript.
Node.js 0.12 path.isAbsolute() ponyfill
Get a random temporary file or directory path
TypeScript is a language for application scale JavaScript development
Get callsites from the V8 stack trace API