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LowRankMatrixDecompositionCodesby sergeyvoronin
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RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.
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GPU-path-tracing-with-CUDA-tutorial-3by straaljager
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gputools R package for gpu computing
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Pytorch2TensorRTby qq995431104
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viuavmby marekjm
Parallel virtual machine designed to reliably run massively concurrent programs
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clewby martijnberger
The OpenCL Extension Wrangler Library
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CLOUDS-LABby michiard
Laboratory Material for the course on Cloud Computing
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opengl-raytracingby carl-vbn
An experimental raytracer using OpenGL for GPU acceleration
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monitoretsby jorchube
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playdohby rossant
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nvidia-driverby negativo17
NVIDIA's proprietary display driver for NVIDIA graphic cards
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Astreeby edeforas
Astree is a free open source optical ray tracing and design software
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Heteroflowby Heteroflow
Concurrent CPU-GPU Programming using Task Models
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HIP-CPUby ROCm-Developer-Tools
An implementation of HIP that works on CPUs, across OSes.
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CARLsim4by UCI-CARL
CARLsim 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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GPGPU_Flockingby parsaiej
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SYCL-DNNby codeplaysoftware
SYCL-DNN is a library implementing neural network algorithms written using SYCL
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CLAMRby lanl
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deep-learning-cpu-gpu-benchmarkby minimaxir
Repository to benchmark the performance of Cloud CPUs vs. Cloud GPUs on TensorFlow and Google Compute Engine.
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ShapePFCNby kalov
Shape Projective Fully Convolutional Network
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ec-gpuby filecoin-project
OpenCL code generator for finite-field arithmetic over arbitrary prime fields
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GRiDby robot-acceleration
A GPU accelerated library for computing rigid body dynamics with analytical gradients
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segcontrastby PRBonn
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PhysCap_demo_releaseby soshishimada
PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time The implementation is based on [SIGGRAPH Aisa'20](https://vcai.mpi-inf.mpg.de/projects/PhysCap/).
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syncbn-tensorflowby jianlong-yuan
Synchronized Multi-GPU Batch Normalization
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Lumia-imaging-sdkby microsoft
Lumia Imaging SDK is a comprehensive set of GPU/CPU imaging tools and effects that run on both mobile and desktop, with high speed and memory efficiency. Samples and extras code are included.
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gpu-admissionby tkestack
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gpu-burnby Microway
Microway's improved version of GPU Burn
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mosaicby sslab-gatech
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SLRby shocker-0x15
Monte Carlo Ray Tracing Renderer
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exposure-renderby ThomasKroes
Automatically exported from code.google.com/p/exposure-render
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bc7_gpuby volition-inc
Compresses a texture using the GPU into the BC7 format using OpenCL or CUDA
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TorchPQby DeMoriarty
Efficient implementations of Product Quantization and its variants using Pytorch and CUDA
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ffmpegtoolkitby hostsoft
CentOS 8.x 64bit ffmpeg auto installer scripts
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dpnpby IntelPython
Data Parallel Extension for NumPy
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LuisaRenderby Mike-Leo-Smith
High-Performance Multiple-Backend Renderer Based on LuisaCompute
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nvml-wrapperby Cldfire
Safe Rust wrapper for the NVIDIA Management Library
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fastgpuby fastai
A queue service for quickly developing scripts that use all your GPUs efficiently
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chip-spvby CHIP-SPV
CHIP-SPV is a backend infrastructure for HIP/CUDA running on SPIR-V via OpenCL or Level Zero APIs.
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vibrantLinuxby libvibrant
A tool to automate managing your screen's saturation depending on what programs are running
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pytorch-cppcuda-tutorialby kwea123
tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)
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KonaBessby xzr467706992
A GPU overclock & undervolt tool for sd865 855 888 765 690 750 780G
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gl_dynamic_lodby nvpro-samples
GPU classifies how to render millions of particles
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nano-vanityby PlasmaPower
A NANO vanity address generator (supports OpenCL)
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LowRankMatrixDecompositionCodesby sergeyvoronin
RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.
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GPU-path-tracing-with-CUDA-tutorial-3by straaljager
The code in this tutorial implements a BVH acceleration structure
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gputoolsby nullsatz
gputools R package for gpu computing
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azhpc-imagesby Azure
Scripts for installing HPC libraries, tools, to be used in Azure HPC/AI images
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rocThrustby ROCmSoftwarePlatform
ROCm Thrust - run Thrust dependent software on AMD GPUs
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