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- GPU Programming
- CUDA
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LLVM in HPC - Enabling Performance Portability, Interoperability, and Novel Features - Part 1
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Explore recent advancements in the LLVM compiler framework for high-performance computing (HPC) in this seminar talk by Dr. Johannes Doerfert from Lawrence Livermore National Laboratory. Delve into topics such as portable CUDA, debugging and tuning at scale, GPU execution of legacy codes, automatic differentiation of HPC programming models, machine learning in compilers, and the impact of missing static information. Gain insights into how these developments aim to enhance performance, tooling, and development in HPC, with a focus on integrating improvements into the LLVM community compiler. Learn about the potential impact of these advancements on HPC users and developers, considering LLVM's widespread use in various compilers and toolchains.
Syllabus
LLVM in HPC (part 1): Enabling Performance Portability, Interoperability, and Novel Features
Taught by
NHR@FAU