OpenMP® Target Offloading for AMD GPUs and APUs

Datum

27.03.2025

Zeit

15:00 - 16:30

Sprecher

Dr. Michael Klemm

Zugehörigkeit

AMD

Sprache

en

Hauptthema

Willkommen

Andere Themen

Informatik, Willkommen

Host

Hartmut Mix

Beschreibung

Today’s supercomputers are heterogeneous systems and GPUs have been established as accelerators to boost the execution of data parallel algorithms. However,programming GPUs remains complex and usually results in code that is not portable between GPU vendors. Many software packages reflect this circumstance and provide tailored implementations for HIP, CUDA, and OpenCL.

This talk has two parts. First, it will introduce target offloading using the OpenMP API, an easy and portable way to exploit GPUs. It will also provide a glimpse at new features of the OpenMP API version 6.0 specification. Second, the talk will explain the architecture of the MI300A accelerator and the process of offloading to it, including the software changes required to take advantage of new features like Unified Shared Memory.

Dr. Michael Klemm is a Principal Member of Technical Staff in the Compilers, Languages, Runtimes & Tools team of the Machine Learning & Software Engineering group at AMD.  He is part of the OpenMP compiler team, focusing on application and kernel performance for AMD Instinct accelerators for High Performance and Throughput Computing.  Michael Klemm is the Chief Executive Officer of the OpenMP Architecture Review Board.

ONLINE: Link ZIH-Colloquia (https://bbb.tu-dresden.de/b/har-oa6-col-lmy)

Links

• Webseite
• Termindetails auf den Webseiten der TU Dresden (https://tu-dresden.de)

Letztmalig verändert: 27.03.2025, 07:37:13