h5fortran-mpiHDF5-MPI parallel Fortran object-oriented interface
Stars: ✭ 15 (-95.66%)
faabricMessaging and state layer for distributed serverless applications
Stars: ✭ 39 (-88.73%)
ACCLAccelerated Collective Communication Library: MPI-like communication operations for Xilinx Alveo accelerators
Stars: ✭ 28 (-91.91%)
scrSCR caches checkpoint data in storage on the compute nodes of a Linux cluster to provide a fast, scalable checkpoint / restart capability for MPI codes.
Stars: ✭ 84 (-75.72%)
fuzzballOngoing development of the Fuzzball MUCK server software and associated functionality.
Stars: ✭ 38 (-89.02%)
FluxUtils.jlSklearn Interface and Distributed Training for Flux.jl
Stars: ✭ 12 (-96.53%)
gpubootcampThis repository consists for gpu bootcamp material for HPC and AI
Stars: ✭ 227 (-34.39%)
raptorGeneral, high performance algebraic multigrid solver
Stars: ✭ 50 (-85.55%)
iot-master物联大师是开源免费的物联网智能网关系统,集成了标准Modbus和主流PLC等多种协议,支持数据采集、公式计算、定时控制、自动控制、异常报警、流量监控、Web组态、远程调试等功能,适用于大部分物联网和工业互联网应用场景。
Stars: ✭ 119 (-65.61%)
libquoDynamic execution environments for coupled, thread-heterogeneous MPI+X applications
Stars: ✭ 21 (-93.93%)
ravelRavel MPI trace visualization tool
Stars: ✭ 26 (-92.49%)
PartitionedArrays.jlVectors and sparse matrices partitioned into pieces for parallel distributed-memory computations.
Stars: ✭ 45 (-86.99%)
fdtd3dfdtd3d is an open source 1D, 2D, 3D FDTD electromagnetics solver with MPI, OpenMP and CUDA support for x86, arm, arm64 architectures
Stars: ✭ 77 (-77.75%)
neworderA dynamic microsimulation framework for python
Stars: ✭ 15 (-95.66%)
sboxgatesProgram for finding low gate count implementations of S-boxes.
Stars: ✭ 30 (-91.33%)
yaskYASK--Yet Another Stencil Kit: a domain-specific language and framework to create high-performance stencil code for implementing finite-difference methods and similar applications.
Stars: ✭ 81 (-76.59%)
XH5ForXDMF parallel partitioned mesh I/O on top of HDF5
Stars: ✭ 23 (-93.35%)
pyccelPython extension language using accelerators
Stars: ✭ 189 (-45.38%)
gslibsparse communication library
Stars: ✭ 22 (-93.64%)
axisemAxiSEM is a parallel spectral-element method to solve 3D wave propagation in a sphere with axisymmetric or spherically symmetric visco-elastic, acoustic, anisotropic structures.
Stars: ✭ 34 (-90.17%)
hpcLearning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )
Stars: ✭ 39 (-88.73%)
pyparEfficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.
Stars: ✭ 66 (-80.92%)
alsvinnThe fast Finite Volume simulator with UQ support.
Stars: ✭ 22 (-93.64%)
musterMassively Scalable Clustering
Stars: ✭ 22 (-93.64%)
matrix multiplicationParallel Matrix Multiplication Using OpenMP, Phtreads, and MPI
Stars: ✭ 41 (-88.15%)
Theano-MPIMPI Parallel framework for training deep learning models built in Theano
Stars: ✭ 55 (-84.1%)
EFDCPluswww.eemodelingsystem.com
Stars: ✭ 9 (-97.4%)
eventgradEvent-Triggered Communication in Parallel Machine Learning
Stars: ✭ 14 (-95.95%)
mpifxModern Fortran wrappers around MPI routines
Stars: ✭ 25 (-92.77%)
pbdMLNo description or website provided.
Stars: ✭ 13 (-96.24%)
dbcsrDBCSR: Distributed Block Compressed Sparse Row matrix library
Stars: ✭ 65 (-81.21%)
fmlFused Matrix Library
Stars: ✭ 24 (-93.06%)
Torstenlibrary of C++ functions that support applications of Stan in Pharmacometrics
Stars: ✭ 38 (-89.02%)
bsuir-csn-cmsn-helperRepository containing ready-made laboratory works in the specialty of computing machines, systems and networks
Stars: ✭ 43 (-87.57%)
PencilArrays.jlDistributed Julia arrays using the MPI protocol
Stars: ✭ 40 (-88.44%)
nbodykitAnalysis kit for large-scale structure datasets, the massively parallel way
Stars: ✭ 93 (-73.12%)
cramTool to run many small MPI jobs inside of one large MPI job.
Stars: ✭ 23 (-93.35%)
SWCaffeA Deep Learning Framework customized for Sunway TaihuLight
Stars: ✭ 37 (-89.31%)
EDLibExact diagonalization solver for quantum electron models
Stars: ✭ 18 (-94.8%)
MpichOfficial MPICH Repository
Stars: ✭ 275 (-20.52%)
sst-coreSST Structural Simulation Toolkit Parallel Discrete Event Core and Services
Stars: ✭ 82 (-76.3%)
ImplicitGlobalGrid.jlAlmost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid
Stars: ✭ 88 (-74.57%)
SIRIUSDomain specific library for electronic structure calculations
Stars: ✭ 87 (-74.86%)
PencilFFTs.jlFast Fourier transforms of MPI-distributed Julia arrays
Stars: ✭ 48 (-86.13%)
GalaxyGalaxy is an asynchronous parallel visualization ray tracer for performant rendering in distributed computing environments. Galaxy builds upon Intel OSPRay and Intel Embree, including ray queueing and sending logic inspired by TACC GraviT.
Stars: ✭ 18 (-94.8%)
pystellaA code generator for grid-based PDE solving on CPUs and GPUs
Stars: ✭ 18 (-94.8%)
mpiBenchMPI benchmark to test and measure collective performance
Stars: ✭ 39 (-88.73%)
frovedisFramework of vectorized and distributed data analytics
Stars: ✭ 59 (-82.95%)
arborThe Arbor multi-compartment neural network simulation library.
Stars: ✭ 87 (-74.86%)
es pytorchHigh performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
Stars: ✭ 20 (-94.22%)
tbslasA parallel, fast solver for the scalar advection-diffusion and the incompressible Navier-Stokes equations based on semi-Lagrangian/Volume-Integral method.
Stars: ✭ 21 (-93.93%)
mloperatorMachine Learning Operator & Controller for Kubernetes
Stars: ✭ 85 (-75.43%)
KernelsThis is a set of simple programs that can be used to explore the features of a parallel platform.
Stars: ✭ 287 (-17.05%)
mpi-parallelizationExamples for MPI Spawning and Splitting, and the differences between two implementations
Stars: ✭ 16 (-95.38%)
hpdbscanHighly parallel DBSCAN (HPDBSCAN)
Stars: ✭ 19 (-94.51%)
wxparaverwxParaver is a trace-based visualization and analysis tool designed to study quantitative detailed metrics and obtain qualitative knowledge of the performance of applications, libraries, processors and whole architectures.
Stars: ✭ 23 (-93.35%)
mpiGraphMPI benchmark to generate network bandwidth images
Stars: ✭ 17 (-95.09%)