LLVM in HPC: Enabling Performance Portability, Interoperability, and Novel Features - Part 2
Offered By: NHR@FAU via YouTube
Course Description
Overview
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
Related Courses
Моделирование биологических молекул на GPU (Biomolecular modeling on GPU)Moscow Institute of Physics and Technology via Coursera Practical Deep Learning For Coders
fast.ai via Independent GPU Architectures And Programming
Indian Institute of Technology, Kharagpur via Swayam Perform Real-Time Object Detection with YOLOv3
Coursera Project Network via Coursera Getting Started with PyTorch
Coursera Project Network via Coursera