- Published on June 5, 2024
- In Deep Tech
Top 6 Parallel Computing Alternatives to CUDA
Achieve CUDA like parallel computing performance on AMD, Intel and other GPUs using 6 alternatives to CUDA.
Image by Nikhil Kumar
- By Sagar Sharma
CUDA is a wonderful piece of tech that allows you to squeeze every bit out of your Nvidia GPU. However, it only works with NVIDIA, and it’s not easy to port your existing CUDA code to other platforms.
You look for an alternative to CUDA, obviously.
What are the alternatives to CUDA?
OpenCL: An open standard for parallel programming across CPUs, GPUs, and other processors with some performance overhead compared to CUDA.
AMD ROCm: An open-source GPU computing platform developed by AMD that allows the porting of CUDA code to AMD GPUs.
SYCL: A higher-level programming model based on C++ for heterogeneous processors enabling code portability across CUDA and OpenCL through Intel's DPC++ and hipSYCL.
Vulkan Compute: It is a compute API of the Vulkan graphics framework,
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Sagar Sharma
A software engineer who loves to experiment with new-gen AI. He also happens to love testing hardware and sometimes they crash. While reviving his crashed system, you can find him reading literature, manga, or watering plants.
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