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

Datum

26.05.2023

Zeit

10:00 - 12:00

Sprecher

Dr. Ignacio Laguna

Zugehörigkeit

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

Serie

TUD ZIH Kolloquium

Sprache

en

Hauptthema

Informatik

Andere Themen

Informatik

Beschreibung

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)

Letztmalig verändert: 26.05.2023, 07:36:07