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GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
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mshadowby dmlc
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
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18337by mitmath
18.337 - Parallel Computing and Scientific Machine Learning
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code-samplesby NVIDIA-developer-blog
Source code examples from the Parallel Forall Blog
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sectorcby xorvoid
A C Compiler that fits in the 512 byte boot sector of an x86 machine
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VideoProcessingFrameworkby NVIDIA
Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions
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VkFFTby DTolm
Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
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kube-batchby kubernetes-sigs
A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
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RadeonRays_SDKby GPUOpen-LibrariesAndSDKs
Radeon Rays is ray intersection acceleration library for hardware and software multiplatforms using CPU and GPU
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CPU-Xby X0rg
CPU-X is a Free software that gathers information on CPU, motherboard and more
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ToyPathTracerby aras-p
Toy path tracer for my own learning purposes (CPU/GPU, C++/C#, Win/Mac/Wasm, DX11/Metal, also Unity)
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flowframesby n00mkrad
Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
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pyopenclby inducer
OpenCL integration for Python, plus shiny features
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gputilby anderskm
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
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nanortby lighttransport
NanoRT, single header only modern ray tracing kernel.
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LuxCoreby LuxCoreRender
LuxCore source repository
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micro-eccby kmackay
ECDH and ECDSA for 8-bit, 32-bit, and 64-bit processors.
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compute-runtimeby intel
Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver
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scikit-cudaby lebedov
Python interface to GPU-powered libraries
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ipython-in-depthby ipython
IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012
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BIDMachby BIDData
CPU and GPU-accelerated Machine Learning Library
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icedby 0xd4d
High performance and correct x86/x64 disassembler, assembler, decoder, encoder for .NET, Rust, Python, JavaScript
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rustixby bytecodealliance
Safe Rust bindings to POSIX-ish APIs
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TornadoVMby beehive-lab
TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
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stdgpuby stotko
stdgpu: Efficient STL-like Data Structures on the GPU
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GpuRamDriveby prsyahmi
RamDrive that is backed by GPU Memory
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rappelby yrp604
A linux-based assembly REPL for x86, amd64, armv7, and armv8
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uEmuby alexhude
Tiny cute emulator plugin for IDA based on unicorn.
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gunrockby gunrock
Programmable CUDA/C++ GPU Graph Analytics
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nvidia-vaapi-driverby elFarto
A VA-API implemention using NVIDIA's NVDEC
C 855Updated: 2 y ago License: Proprietary (Proprietary)
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retinanet-examplesby NVIDIA
Fast and accurate object detection with end-to-end GPU optimization
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pytorch_memlabby Stonesjtu
Profiling and inspecting memory in pytorch
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rust-numpyby PyO3
PyO3-based Rust bindings of the NumPy C-API
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StableFluidsby keijiro
A straightforward GPU implementation of Jos Stam's "Stable Fluids" on Unity.
C# 847Updated: 2 y ago License: No License (No License)
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llama.goby gotzmann
llama.go is like llama.cpp in pure Golang!
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ILGPUby m4rs-mt
ILGPU JIT Compiler for high-performance .Net GPU programs
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ethereum_nvidia_minerby Cyclenerd
💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)
Shell 834Updated: 2 y ago License: Strong Copyleft (GPL-3.0)
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extension-cppby pytorch
C++ extensions in PyTorch
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mucommanderby mucommander
A lightweight, cross-platform file manager with a dual-pane interface
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mandelbulber2by buddhi1980
Official repository for Mandelbulber v2
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media-driverby intel
C 809Updated: 2 y ago License: Proprietary (Proprietary)
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gpgpu-sim_distributionby gpgpu-sim
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
C++ 802Updated: 2 y ago License: Proprietary (Proprietary)
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cpuinfoby pytorch
CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
C 800Updated: 2 y ago License: Permissive (BSD-2-Clause)
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clBLASby clMathLibraries
a software library containing BLAS functions written in OpenCL
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cpu-internalsby LordNoteworthy
Intel / AMD CPU Internals
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DxrTutorialsby NVIDIAGameWorks
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squirrelby albertodemichelis
Official repository for the programming language Squirrel
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nvdiffrastby NVlabs
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
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gpu-operatorby NVIDIA
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
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gpu-burnby wilicc
Multi-GPU CUDA stress test
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tf-corianderby hughperkins
OpenCL 1.2 implementation for Tensorflow
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