Projects in Awesome Lists tagged with gpu-computing

https://github.com/paperspace/core-api-docs

Paperspace CORE API Documentation

accelerated-computing api-client cloud gpu-computing h264-encoder http iaas nodejs paperspace paperspace-api paperspace-machines rest-api vdi virtual-desktop virtual-machine virtualization vpc

Last synced: 16 Dec 2024

https://github.com/skyzh/conway.metal

Conway's Game of Life with Metal Computing

conway-game conway-s-game-of-life gpu-computing metalkit swift xcode

Last synced: 11 Nov 2024

https://github.com/hatamiarash7/cuda-python

GPU programming using CUDA & Python

cuda gpu gpu-computing gpu-programming python

Last synced: 09 Dec 2024

https://github.com/k-ye/metalscan

Blelloch's exclusive scan implemented in Metal

gpu gpu-computing metal swift

Last synced: 16 Nov 2024

https://github.com/fwd/nano-pow

Lightweight Proof of Work Server for Nano Currency.

gpu-computing gpu-monetization nanocurrency proof-of-work

Last synced: 10 Nov 2024

https://github.com/nooridan/blahutarimoto

pyTorch implementation of blahut-arimoto alogirthm to compute the channel capacity of a peak power constrained channel

additive-gaussian-processes channel-cpacity gpu-computing information-theory pytorch

Last synced: 21 Dec 2024

https://github.com/svenssonjoel/obsidian-examples

Example programs written in Obsidian

edsl gpu gpu-acceleration gpu-computing haskell

Last synced: 18 Dec 2024

https://github.com/svenssonjoel/obsidian-run-cuda

Run Obsidian programs on a GPU from Haskell code.

edsl gpu gpu-acceleration gpu-computing haskell haskell-library

Last synced: 18 Dec 2024

https://github.com/pkestene/mandelbrot_kokkos

cuda gpu gpu-computing kokkos mandelbrot openmp performance-portability

Last synced: 18 Dec 2024

https://github.com/daelsepara/hipmandelbrot

GPU Implementation of Mandelbrot Fractal Generator with Benchmarking

amd cuda fractal gpu gpu-compute gpu-computing hip mandelbrot parallel-computing rocm sdk

Last synced: 07 Nov 2024

https://github.com/mortafix/quickshift

A working implementation of Quickshift algorithm in CUDA, GPU-compatible.

cuda gpu-computing quickshift

Last synced: 14 Nov 2024

https://github.com/qtle3/gpu-checker

This script checks the availability of CUDA-enabled GPUs and prints detailed GPU information for both PyTorch and TensorFlow frameworks. It's a handy utility for ensuring that your deep learning environment is correctly configured to utilize GPU acceleration.

cross-framework cuda-toolkit gpu-acceleration gpu-computing gpu-information gpu-monitoring pytorch tensorflow

Last synced: 11 Oct 2024

https://github.com/le-ander/msc_bioinfo-experimental_design

Using information theory to inform experimental design with GPU acceleration. Computing group project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.

cuda experimental-design gpu-computing information-theory pycuda systems-biology

Last synced: 04 Dec 2024

https://github.com/shapur1234/fractl

Fractal renderer written in rust supporting multithreading, gpu compute and wasm

cross-platform fractal fractal-images fractal-rendering freesoftware gpu-computing gpu-programming nix nix-flake parallel parallel-computing parallel-programming parallelism rayon rust wasm webgpu wgsl-shader

Last synced: 07 Nov 2024

https://github.com/cluebbers/using_r_for_hpda

Exploring R for high-performance data analytics, including memory management, GPU computing, parallel processing, benchmarks, case studies, and comparisons with Python.

benchmarking case-studies data-science gpu-computing high-performance-data-analytics memory-management parallel-processing python-comparison r

Last synced: 16 Nov 2024

https://github.com/alexioannides/terraform-aws-dev-workstation

Terraform module for deep learning friendly remote development workstations on AWS

aws deep-learning gpu-computing terraform

Last synced: 16 Nov 2024

https://github.com/angchen0325/cuda-learn

Ang's CUDA-learn project

cuda gpu-computing

Last synced: 11 Nov 2024

https://github.com/foldermaster/calculationavaloniaapp

An educational project created for data calculations on the GPU using the ILGPU library. The graphical interface is made in Avalonia.

avalonia benchmark gpu-computing ilgpu scharp

Last synced: 17 Nov 2024

https://github.com/vietdoo/seam-carving-cuda

CUDA Seam Carving: Accelerating Image Resizing with GPU Computing

cc cuda cuda-programming gpu-computing parrallel-computing seam-carving

Last synced: 13 Dec 2024

https://github.com/scar17off/ai-2048

A Python implementation of 2048 with a self-learning AI agent powered by TensorFlow. Features reinforcement learning, GPU acceleration, and real-time gameplay visualization.

2048 2048-ai 2048-game artificial-intelligence cuda deep-learning game-ai gpu-computing machine-learning neural-networks pygame python reinforcement-learning self-learning tensorflow

Last synced: 08 Nov 2024

https://github.com/tgautam03/tgemm

General Matrix Multiplication using NVIDIA Tensor Cores

cuda-kernels cuda-programming gpu-computing gpu-programming matrix-multiplication nvidia-cuda nvidia-gpu nvidia-tensor-cores sgemm tensor-cores

Last synced: 10 Nov 2024

https://github.com/vladd12/libexecstd

Modern C++ library for using an execution context of computer devices

cpp cpp17 cuda gpu-acceleration gpu-computing

Last synced: 29 Nov 2024

https://github.com/loafoe/hsdp-task-cuda-test

Example CUDA task skeleton for utilizing HSDP Iron GPU workers

gpu-acceleration gpu-computing hsdp hsdp-task

Last synced: 19 Nov 2024

https://github.com/nick-eagles/jhu_parallelism_and_gpus

Material for JHU Computing Club talk covering parallelism and GPUs

gpu-computing parallelism slurm

Last synced: 06 Nov 2024

https://github.com/jrhea/inference-engine

ml inference engine

gpu-computing machine-learning python

Last synced: 16 Dec 2024

https://github.com/ltfschoen/dog-project

Term 2 Project 1 Dog Breed Classifier and human face detector using ImageNet, superhuman CNNs, and Haar Cascades

aws-ec2 bottleneck convolutional-neural-networks gpu-computing haar image-augmentation image-classification keras multi-class-classification resnet-50 transfer-learning

Last synced: 07 Dec 2024

https://github.com/anas-farooq8/parallel-imageprocessing-opencl

OpenCL Image Processing: Explore efficient image processing algorithms using OpenCL, a framework for parallel computing. Convert colored images to grayscale for tasks like skin cancer detection, leveraging the ISIC 2020 Challenge Dataset. Includes optimized parallelized algorithms and documentation for seamless implementation.

c cpu data-parallel gpu-computing grayscale-images image-processing kernel-functions opencl parallel-processing

Last synced: 10 Nov 2024

https://github.com/shireee/gpu-file-encryption

library for encode/decode files on gpu using cryptographic algorithms

cpp cryptography gpu-computing

Last synced: 23 Nov 2024

https://github.com/michaelfranzl/image_fah-client

Dockerfile for Folding@home client with AMD and Nvidia GPGPU support

container cuda debian docker foldingathome gpu-computing opencl

Last synced: 21 Nov 2024

https://github.com/marwan475/gpu-ray-tracing-engine

Real Time Raytracing Engine with editor using OpenCL

c cpp engine gpu-acceleration gpu-computing imgui opencl opengl raytacer raytracing win32api

Last synced: 21 Nov 2024

https://github.com/theodoreai/montecuda

CUDA application for Monte Carlo simulation is used to determine the range of outcomes for a series of parameters, each of which has a probability distribution showing how likely each option is to happen. This is using CUDA.

cuda gpu-computing monte-carlo-simulation parallel-computing

Last synced: 25 Nov 2024

https://github.com/mattjesc/gpu-accelerated-fap

GPU-Accelerated Frequency Analysis Prototype using CUDA, Unit Testing, and User-Defined Settings

c cmake cpp cuda cufft googletest gpu gpu-acceleration gpu-computing gpu-programming nvidia signal-processing test test-automation testing unit-testing

Last synced: 10 Dec 2024

https://github.com/sustia-llc/gpu_logger_poc

GPU execution verification system with immutable Kafka logging. Monitors CUDA operations, validates GPU performance, and maintains auditable operation history. Built with Rust and Candle for reliable ML model execution tracking.

candle-core cuda docker gpu gpu-computing kafka logging machine-learning mlops monitoring nvidia performance-testing rust

Last synced: 19 Dec 2024

https://github.com/sebp/vscode-sycl-dpcpp-cuda

Sample project to use the VS Code Remote - Containers extension to develop SYCL applications for NVIDIA GPUs using the oneAPI DPC++ compiler.

cuda dpcpp fedora gpu-computing podman sycl vscode

Last synced: 15 Dec 2024

https://github.com/thalesmg/haskell-accelerate-parconc

Example and benchmark of Accelerate-HS from Parallel and Concurrent Programming in Haskell

accelerate cuda gpu-computing haskell parallel-computing

Last synced: 15 Dec 2024

https://github.com/arxiver/general-processing

General processing using GPU through compute shaders

compute-shaders computer-graphics cpp cpp17 general-processor general-purpose gpu gpu-acceleration gpu-computing gpu-programming graphics opencl parallel-computing parallelization processing shaders shaders-manipulation

Last synced: 15 Nov 2024

https://github.com/darth-vader-lg/smartcl

A wrapper library for easy use of OpenCL in the .NET environment

dotnet gpu-computing opencl

Last synced: 11 Dec 2024

https://github.com/robinka/pytocl

A library for writing and executing OpenCL kernels directly in Python

ast-transformations gpu-computing numerics opencl python

Last synced: 13 Nov 2024

https://github.com/daelsepara/hipnewton

GPU Implementation of Newton Fractal Generator with Benchmarking

amd cuda fractal gpu gpu-compute gpu-computing hip newton parallel-computing rocm sdk

Last synced: 10 Dec 2024

https://github.com/fekle/tensorflow-docker-gpu-avx2

A little script to build tensorflow gpu images with avx2

ai avx2 deep-learning docker gpu gpu-computing neural-networks python tensorflow

Last synced: 19 Nov 2024

https://github.com/chrisdalvit/gpu-matrix-transpose

Implementation and benchmarking of different matrix transpose with CUDA

c cpp cuda cuda-kernels cuda-programming gpu-acceleration gpu-computing gpu-programming matrix-transpose nvidia-gpu

Last synced: 20 Dec 2024

https://github.com/ludgerpaehler/lulesh-enzyme

AD with Enzyme through Lulesh.

automatic-differentiation cuda cuda-programming gpu-computing high-performance-computing llvm-enzyme scientific-computing

Last synced: 09 Nov 2024

https://github.com/klappdev/jcoro

Java native coroutine library

concurrency coroutines cpp cpp20 cpp23 gpu-computing java jni

Last synced: 09 Nov 2024

https://github.com/wiktor2718/matrix_flow

Matrix Flow is a simple machine learning library written in Rust and CUDA. It was created as a portfolio project to deepen my understanding of machine learning, GPU programming, and Rust. It provides an API for matrix manipulation and includes specially optimized neural networks.

adam-optimizer benchmarking cuda deep-learning gpu-computing machine-learning matrix-operations neural-networks portfolio-project rust