ROCm software is currently spread across dozens of public GitHub repositories.
Future integration with rocALUTION, rocSOLVER, MIOpen, and certain other ROCm libraries is planned. AMDGPU.jl uses ROCr's HSA implementation to upload native code onto the device and execute it, similar to how HIP loads its own generated device code.ĪMDGPU.jl also supports integration with ROCm's rocBLAS (for BLAS), rocRAND (for random number generation), and rocFFT (for FFTs). Instead of compiling code through HIP, AMDGPU.jl uses Julia's compiler to generate LLVM IR directly, which is later consumed by LLVM to generate native device code. Julia has the AMDGPU.jl package, which integrates with LLVM and selects components of the ROCm stack. Other acceleration & graphics interoperation Īs of version 3.0, Blender can now use HIP compute kernels for its renderer Cycles.
Some related software is to be found at AMD Infinity hub. ROCm is used with the Exascale supercomputers ElCapitan and Frontier. ROCm is gaining significant traction in the top 500. Iree (which uses LLVM Multi-Level Intermediate Representation (MLIR)).Various Deep Learning frameworks have a ROCm backend: The main consumers of the stack are machine learning and high-performance computing/GPGPU applications. ( January 2022)ĪMD ROCm product manager gave a tour of the stack. (on Linux: 1.1 (no Image support) with Mesa 3D, 2.0 with AMD drivers or AMD ROCm) The only consumer-grade GPU that has relatively equal support is, as of January 2022, the Radeon VII (GCN 5 - Vega).Ĭonsumer-grade GPUs Name of GPU seriesġ.2 (on Linux: 1.1 (no Image support) with Mesa 3D) See also: List of AMD graphics processing units Professional-grade GPUs ĪMD Instinct accelerators are the first-class ROCm citizens, alongside the prosumer Radeon Pro GPU series: they mostly see full support.
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