GPGPU Packages
- CUDA.jl1193CUDA programming in Julia.
- MXNet.jl371MXNet Julia Package - flexible and efficient deep learning in Julia
- Metal.jl346Metal programming in Julia
- GPUArrays.jl317Reusable array functionality for Julia's various GPU backends.
- AMDGPU.jl278AMD GPU (ROCm) programming in Julia
- OpenCL.jl265OpenCL Julia bindings
- CUDArt.jl79Julia wrapper for CUDA runtime API
- CUDAdrv.jl67A Julia wrapper for the CUDA driver API.
- GPUifyLoops.jl63-
- DaggerGPU.jl50GPU integrations for Dagger.jl
- CUDNN.jl41Julia wrapper for the NVIDIA cuDNN GPU deep learning library
- CUBLAS.jl26Julia interface to CUBLAS
- UberSignals.jl12Concept for a fast event system, using JIT and GPU acceleration
- HSA.jl8Julia Bindings for the HSA Runtime
- CuCountMap.jl3Fast `StatsBase.countmap` for small types on the GPU via CUDA.jl
- Titan.jl1Write GPU kernels using pure Julia
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