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ChatBLAS: The First AI-Generated and Portable BLAS Library
DescriptionWe present ChatBLAS, the first AI-generated and portable Basic Linear Algebra Subprograms (BLAS) library on different CPU/GPU configurations. The purpose of this study is (i) to evaluate the capabilities of current large language models (LLMs) to generate a portable and HPC library for BLAS operations and (ii) to define the fundamental practices and criteria to interact with LLMs for HPC targets to elevate the trustworthiness and performance levels of the AI-generated
HPC codes. The generated C/C++ codes must be highly optimized using device-specific solutions to reach high levels of performance. Additionally, these codes are very algorithm-dependent, thereby adding an extra dimension of complexity to this study. We used OpenAI’s LLM ChatGPT and focused on vector-vector BLAS level-1 operations.ChatBLAS can generate functional and correct codes, thereby achieving high trustworthiness levels, and can compete or even provide
better performance against vendor libraries.
Event Type
Workshop
TimeMonday, 18 November 202412:10pm - 12:30pm EST
LocationB313
Tags
Artificial Intelligence/Machine Learning
Registration Categories
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