YoVDO

LLVM in HPC - Enabling Performance Portability, Interoperability, and Novel Features - Part 1

Offered By: NHR@FAU via YouTube

Tags

LLVM Courses CUDA Courses High Performance Computing Courses OpenMP Courses GPU Computing Courses Automatic Differentiation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

High Performance Computing
Georgia Institute of Technology via Udacity
Введение в параллельное программирование с использованием OpenMP и MPI
Tomsk State University via Coursera
High Performance Computing in the Cloud
Dublin City University via FutureLearn
Production Machine Learning Systems
Google Cloud via Coursera
LAFF-On Programming for High Performance
The University of Texas at Austin via edX