ZIH-Kolloquium: "Mitigating Numerical Inconsistencies and Exceptions in Heterogeneous HPC Systems"

Date

May 26, 2023

Time

10:00 AM - 12:00 PM

Speaker

Dr. Ignacio Laguna

Affiliation

Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory (LLNL)

Series

TUD ZIH Kolloquium

Language

en

Main Topic

Informatik

Other Topics

Informatik

Description

Scientific computing applications running on heterogeneous systems may suffer from numerical reproducibility and correctness issues, which can take a significant amount of time to detect and fix. This talk will present several tools and techniques to isolate numerical errors that arise when scientific software is ported to GPUs. The approaches include isolating compiler-induced numerical inconsistencies, detecting numerical exceptions, and finding inputs that trigger exceptions in GPU software.

Dr. Ignacio Laguna is a Computer Scientists and a Group Leader at the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory (LLNL), California. His research is focused on programing models for HPC, software correctness, debugging tools, and fault tolerance. He received his PhD in Computer Engineering from Purdue University in 2012 and has been at LLNL for more than ten years.

Die Teilnahme am Kolloquium ist kostenlos. Sprache: Deutsch/Englisch
Die Veranstaltung wird in HYBRID angeboten. Sie können sich zum ZIH-Kolloquium wie folgt anmelden:

• LIVE: Andreas-Pfitzmann-Bau, Room 1004
• ONLINE: Link ZIH-Kolloquium (https://bbb.tu-dresden.de/b/har-oa6-col-lmy)

Links

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

Last modified: May 26, 2023, 7:36:07 AM