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Performance-Aligned LLMs for Generating Fast Code
Optimizing scientific software is a difficult task because codebases are often large and complex, and performance can depend upon several factors including the algorithm, its implementation, and hardware among others.
Modeling Parallel Programs using Large Language Models
In this paper, we show how large language models (LLMs) can be applied to tasks specific to high performance and scientific codes.
Understanding Automatic Differentiation Pitfalls
Automatic differentiation, also known as backpropagation, AD, autodiff, or algorithmic differentiation, is a popular technique for computing derivatives of computer programs accurately and efficiently.
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