gpubootcampThis repository consists for gpu bootcamp material for HPC and AI
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Carlsim3CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
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JcudaJCuda - Java bindings for CUDA
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HeteroflowConcurrent CPU-GPU Programming using Task Models
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GunrockHigh-Performance Graph Primitives on GPUs
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RemoterySingle C file, Realtime CPU/GPU Profiler with Remote Web Viewer
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CudaExperiments with CUDA and Rust
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KhivaAn open-source library of algorithms to analyse time series in GPU and CPU.
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Deeppipe2Deep Learning library using GPU(CUDA/cuBLAS)
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Stdgpustdgpu: Efficient STL-like Data Structures on the GPU
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Lighthouse2Lighthouse 2 framework for real-time ray tracing
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ChainerA flexible framework of neural networks for deep learning
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CudasiftA CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)
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NeanderthalFast Clojure Matrix Library
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GraphviteGraphVite: A General and High-performance Graph Embedding System
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Cumf alsCUDA Matrix Factorization Library with Alternating Least Square (ALS)
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MarianFast Neural Machine Translation in C++
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ForwardA library for high performance deep learning inference on NVIDIA GPUs.
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ParenchymaAn extensible HPC framework for CUDA, OpenCL and native CPU.
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Training MaterialA collection of code examples as well as presentations for training purposes
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HiopHPC solver for nonlinear optimization problems
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Tensorflow Object Detection TutorialThe purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
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Futhark💥💻💥 A data-parallel functional programming language
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MixbenchA GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)
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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
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CupyNumPy & SciPy for GPU
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RustacudaRusty wrapper for the CUDA Driver API
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SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
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ThundergbmThunderGBM: Fast GBDTs and Random Forests on GPUs
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Optical Flow FilterA real time optical flow algorithm implemented on GPU
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BitcrackerBitCracker is the first open source password cracking tool for memory units encrypted with BitLocker
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WheelsPerformance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
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Scikit CudaPython interface to GPU-powered libraries
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CubCooperative primitives for CUDA C++.
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PyopenclOpenCL integration for Python, plus shiny features
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Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
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Nvidia libs testTests and benchmarks for cudnn (and in the future, other nvidia libraries)
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Hoomd BlueMolecular dynamics and Monte Carlo soft matter simulation on GPUs.
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CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
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ArboretumGradient Boosting powered by GPU(NVIDIA CUDA)
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GgnnGGNN: State of the Art Graph-based GPU Nearest Neighbor Search
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Cudart.jlJulia wrapper for CUDA runtime API
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Tsne CudaGPU Accelerated t-SNE for CUDA with Python bindings
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MprReference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)
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Cuda Design PatternsSome CUDA design patterns and a bit of template magic for CUDA
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ThundersvmThunderSVM: A Fast SVM Library on GPUs and CPUs
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PycudaCUDA integration for Python, plus shiny features
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PygraphistryPyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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DeepnetDeep.Net machine learning framework for F#
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OnemkloneAPI Math Kernel Library (oneMKL) Interfaces
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PynvvlA Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python
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PrimitivA Neural Network Toolkit.
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H2o4gpuH2Oai GPU Edition
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Open3dOpen3D: A Modern Library for 3D Data Processing
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NumerNumeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda
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LibcudacxxThe C++ Standard Library for your entire system.
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