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PTXBench provides an auditable testbed for measuring and improving LLMs'ability to exploit evolving GPU architectures, and shows that architecture-specific PTX capability remains uneven.
This tutorial presents emerging methods that leverage large language models (LLMs) to automate kernel generation for GPUs and custom accelerators such as AWS Trainium, and demonstrates how recent advances in reinforcement learning and inference-time compute scaling can be adapted to produce correct and performant kerne...
Writing high-performance system kernels for AI accelerators requires deep hardware expertise and low-level programming skill—a significant barrier for many researchers and engineers. This tutorial presents emerging methods that leverage large language models (LLMs) to automate kernel generation for GPUs and custom acce...
PTXBench provides an auditable testbed for measuring and improving LLMs'ability to exploit evolving GPU architectures, and shows that architecture-specific PTX capability remains uneven.
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