Get 20% off all career paths from fullstack to AI
Learn the Skills Netflix, Meta, and Capital One Actually Hire For
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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, effortless 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 for widespread impact across various toolchains and programming languages used in scientific computing.
Syllabus
LLVM in HPC (part 2): Enabling Performance Portability, Interoperability, and Novel Features
Taught by
NHR@FAU