GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → JuliaGPU → Kernelabstractions.jl

JuliaGPU / Kernelabstractions.jl

Licence: mit
Heterogeneous programming in Julia

Programming Languages

julia
2034 projects

Labels

gpu-computing

Projects that are alternatives of or similar to Kernelabstractions.jl

Hipsycl
Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (+328.41%)
Mutual labels:  gpu-computing
Bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
Stars: ✭ 837 (+851.14%)
Mutual labels:  gpu-computing
Heteroflow
Concurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (-35.23%)
Mutual labels:  gpu-computing
Stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (+503.41%)
Mutual labels:  gpu-computing
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
Stars: ✭ 793 (+801.14%)
Mutual labels:  gpu-computing
Nvidia libs test
Tests and benchmarks for cudnn (and in the future, other nvidia libraries)
Stars: ✭ 36 (-59.09%)
Mutual labels:  gpu-computing
Tutorials
Some basic programming tutorials
Stars: ✭ 353 (+301.14%)
Mutual labels:  gpu-computing
Autodock Gpu
AutoDock for GPUs and other accelerators
Stars: ✭ 65 (-26.14%)
Mutual labels:  gpu-computing
Neanderthal
Fast Clojure Matrix Library
Stars: ✭ 927 (+953.41%)
Mutual labels:  gpu-computing
Raspberrypi tempmon
Raspberry pi CPU temperature monitor with many functions such as logging, GPIO output, graphing, email, alarm, notifications and stress testing. Python 3.
Stars: ✭ 52 (-40.91%)
Mutual labels:  gpu-computing
Luxcore
LuxCore source repository
Stars: ✭ 601 (+582.95%)
Mutual labels:  gpu-computing
Accelerate
Embedded language for high-performance array computations
Stars: ✭ 751 (+753.41%)
Mutual labels:  gpu-computing
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.
Stars: ✭ 38 (-56.82%)
Mutual labels:  gpu-computing
Picongpu
Particle-in-Cell Simulations for the Exascale Era ✨
Stars: ✭ 452 (+413.64%)
Mutual labels:  gpu-computing
Sushi2
Matrix Library for JavaScript
Stars: ✭ 60 (-31.82%)
Mutual labels:  gpu-computing
Cuda Api Wrappers
Thin C++-flavored wrappers for the CUDA Runtime API
Stars: ✭ 362 (+311.36%)
Mutual labels:  gpu-computing
18337
18.337 - Parallel Computing and Scientific Machine Learning
Stars: ✭ 834 (+847.73%)
Mutual labels:  gpu-computing
Cekirdekler
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).
Stars: ✭ 76 (-13.64%)
Mutual labels:  gpu-computing
Pycuda
CUDA integration for Python, plus shiny features
Stars: ✭ 1,112 (+1163.64%)
Mutual labels:  gpu-computing
Sixtyfour
How fast can we brute force a 64-bit comparison?
Stars: ✭ 41 (-53.41%)
Mutual labels:  gpu-computing
View All Similar Projects ➔

KernelAbstractions.jl

Ash dushum durbatulûk, ash dushum gimbatul, ash dushum thrakatulûk, agh burzum-ishi krimpatul

Documentation (stable) Documentation (latest) DOI Bors Code Coverage

Julia CPU CI GPU CI
v1 CI Build status
1.6-nightly CI Build status
nightly CI Build status

License

KernelAbstractions.jl is licensed under the MIT license.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].