ended5월 2일· 1 sources
Futhark Revitalizes microgpt with High-Performance Parallelism
Python의 한계를 넘어, Futhark로 재탄생한 고성능 microgpt
Why it matters
This project demonstrates how data-parallel languages can overcome Python's inherent scaling limitations for neural networks. By leveraging Futhark's primitives, developers can achieve significantly better performance and scalability for LLM architectures while maintaining structural clarity.
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microgptFutharkAndrej KarpathyData-parallel programmingLLM architecture