AI Research
JAXBench: Benchmarking Autonomous TPU Kernel Optimization
Rigorous benchmarks have driven progress in autonomous GPU kernel performance optimization by establishing a shared target to hillclimb on, but no equivalent exists for TPUs. We present JAXBench, a TPU-native benchmark suite for AI-generated kernel optimization on Google Cloud TP...
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ArXiv CS.AI
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ArXiv CS.AI
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JAXBench addresses a critical gap in TPU optimization by providing a standardized benchmark suite, enabling focused research and development in autonomous kernel optimization for Google's AI hardware. This work could accelerate AI model performance by making TPUs more efficiently programmable.
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