Multi-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).

✭ 76

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Autodock Gpu

AutoDock for GPUs and other accelerators

✭ 65

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Pycuda

CUDA integration for Python, plus shiny features

✭ 1,112

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Sushi2

Matrix Library for JavaScript

✭ 60

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Heteroflow

Concurrent CPU-GPU Programming using Task Models

✭ 57

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Raspberrypi tempmon

Raspberry pi CPU temperature monitor with many functions such as logging, GPIO output, graphing, email, alarm, notifications and stress testing. Python 3.

✭ 52

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Sixtyfour

How fast can we brute force a 64-bit comparison?

✭ 41

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Fractional differencing gpu

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

✭ 38

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Nvidia libs test

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

✭ 36

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18337

18.337 - Parallel Computing and Scientific Machine Learning

✭ 834

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Bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

✭ 837

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Neanderthal

Fast Clojure Matrix Library

✭ 927

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Arraymancer

A 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

✭ 793

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Accelerate

Embedded language for high-performance array computations

✭ 751

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Kubernetes Gpu Guide

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

✭ 740

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Luxcore

LuxCore source repository

✭ 601

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Stdgpu

stdgpu: Efficient STL-like Data Structures on the GPU

✭ 531

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Picongpu

Particle-in-Cell Simulations for the Exascale Era ✨

✭ 452

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Hipsycl

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

✭ 377

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Cuda Api Wrappers

Thin C++-flavored wrappers for the CUDA Runtime API

✭ 362

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Tutorials

Some basic programming tutorials

✭ 353

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Trisycl

Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

✭ 354

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Vulkan Kompute

General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases.

✭ 350

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Bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

✭ 342