ParenchymaAn extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-98.08%)
ComputeA C++ GPU Computing Library for OpenCL
Stars: ✭ 1,192 (-67.72%)
PyopenclOpenCL integration for Python, plus shiny features
Stars: ✭ 790 (-78.61%)
Arrayfire PythonPython bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (-90.31%)
Futhark💥💻💥 A data-parallel functional programming language
Stars: ✭ 1,641 (-55.56%)
OccaJIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal
Stars: ✭ 230 (-93.77%)
NeanderthalFast Clojure Matrix Library
Stars: ✭ 927 (-74.9%)
MatXAn efficient C++17 GPU numerical computing library with Python-like syntax
Stars: ✭ 418 (-88.68%)
HipsyclImplementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (-89.79%)
BitcrackerBitCracker is the first open source password cracking tool for memory units encrypted with BitLocker
Stars: ✭ 463 (-87.46%)
LoopyA code generator for array-based code on CPUs and GPUs
Stars: ✭ 367 (-90.06%)
AmgclC++ library for solving large sparse linear systems with algebraic multigrid method
Stars: ✭ 390 (-89.44%)
OnemkloneAPI Math Kernel Library (oneMKL) Interfaces
Stars: ✭ 122 (-96.7%)
VexclVexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
Stars: ✭ 626 (-83.05%)
IlgpuILGPU JIT Compiler for high-performance .Net GPU programs
Stars: ✭ 374 (-89.87%)
monolishmonolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Stars: ✭ 166 (-95.51%)
KhivaAn open-source library of algorithms to analyse time series in GPU and CPU.
Stars: ✭ 161 (-95.64%)
BohriumAutomatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX
Stars: ✭ 209 (-94.34%)
KttKernel Tuning Toolkit
Stars: ✭ 33 (-99.11%)
MixbenchA GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)
Stars: ✭ 130 (-96.48%)
ArraymancerA fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Stars: ✭ 793 (-78.53%)
pystellaA code generator for grid-based PDE solving on CPUs and GPUs
Stars: ✭ 18 (-99.51%)
gpubootcampThis repository consists for gpu bootcamp material for HPC and AI
Stars: ✭ 227 (-93.85%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (-90.74%)
allgebraBase container for developing C++ and Fortran HPC applications
Stars: ✭ 14 (-99.62%)
HashcatWorld's fastest and most advanced password recovery utility
Stars: ✭ 11,014 (+198.24%)
Cuda Api WrappersThin C++-flavored wrappers for the CUDA Runtime API
Stars: ✭ 362 (-90.2%)
cuda memtestFork of CUDA GPU memtest 👓
Stars: ✭ 68 (-98.16%)
Optical Flow FilterA real time optical flow algorithm implemented on GPU
Stars: ✭ 146 (-96.05%)
TvmOpen deep learning compiler stack for cpu, gpu and specialized accelerators
Stars: ✭ 7,494 (+102.92%)
Stdgpustdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (-85.62%)
ComputesharpA .NET 5 library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀
Stars: ✭ 982 (-73.41%)
PycudaCUDA integration for Python, plus shiny features
Stars: ✭ 1,112 (-69.89%)
hipaccA domain-specific language and compiler for image processing
Stars: ✭ 72 (-98.05%)
BabelstreamSTREAM, for lots of devices written in many programming models
Stars: ✭ 121 (-96.72%)
AparapiThe New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
Stars: ✭ 352 (-90.47%)
SpocStream Processing with OCaml
Stars: ✭ 115 (-96.89%)
PrimitivA Neural Network Toolkit.
Stars: ✭ 164 (-95.56%)
Compute.scalaScientific computing with N-dimensional arrays
Stars: ✭ 191 (-94.83%)
Awesome CudaThis is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (-92.58%)
Compute RuntimeIntel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver
Stars: ✭ 593 (-83.94%)
JohnJohn the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs
Stars: ✭ 5,656 (+53.15%)
CekirdeklerMulti-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).
Stars: ✭ 76 (-97.94%)
CupochRobotics with GPU computing
Stars: ✭ 225 (-93.91%)
boxtreeQuad/octree building for FMMs in Python and OpenCL
Stars: ✭ 52 (-98.59%)
rectdetectRealtime rectangle detector with GPGPU
Stars: ✭ 51 (-98.62%)
CLUThe OpenCL Utility library
Stars: ✭ 18 (-99.51%)
sycl-benchSYCL Benchmark Suite
Stars: ✭ 30 (-99.19%)
bandicoot-codeBandicoot: GPU accelerator add-on for the Armadillo C++ linear algebra library
Stars: ✭ 21 (-99.43%)
john-packagesCommunity packages of John the Ripper (a Docker image, a Flatpak, a Windows PortableApp, and Ubuntu SNAP packages)
Stars: ✭ 31 (-99.16%)
RayTracingRealtime GPU Path tracer based on OpenCL and OpenGL
Stars: ✭ 120 (-96.75%)
HeCBenchsoftware.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html
Stars: ✭ 85 (-97.7%)
faster lmm dA faster lmm for GWAS. Supports GPU backend.
Stars: ✭ 12 (-99.68%)
nodeGPU-accelerated data science and visualization in node
Stars: ✭ 85 (-97.7%)
Amplifier.NETAmplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.
Stars: ✭ 142 (-96.15%)
HiSpatialClusterClustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.
Stars: ✭ 31 (-99.16%)