PERMAVOST'22 Discussion Panel

Abstract

In this panel, a team of four experts in performance analysis, parallel computing, quantum computing, and distributed systems discuss how different scientific computing fields are benefiting from performance analysis tools. The panel will discuss challenges and limitations in today's available tools from the perspective of a tools developer, domain scientist, and solutions architect. An emphasis will be placed on evaluating the performance and visualizing experiments in rising fields in Computer Science such as Machine Learning and Quantum Computing in HPC infrastructures. The panel is in the format of questions and answers sessions given by the moderator combined with interactive communication with the audience. We encourage participants to join our interactive panel discussion.

Authors 7

1. Radita Liem Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany

2. Connor Francis Scully-Allison

   University of Arizona

   Affiliation as printed

   University of Arizona, Tucson, AZ, USA

3. Ana Veroneze Solorzano

   Northeastern University

   Affiliation as printed

   Northeastern University, Boston, MA, USA

4. Kristopher Keipert

   Nvidia (United States)

   Affiliation as printed

   NVIDIA, Traverse City, MI, USA

5. Rafael Ferreira da Silva

   Oak Ridge National Laboratory

   Affiliation as printed

   Oak Ridge National Laboratory, Oak Ridge, TN, USA

6. Suraj P. Kesavan

   University of California, Davis

   Affiliation as printed

   University of California, Davis, Davis, CA, USA

7. Tirthak Patel

   Rice University

   Affiliation as printed

   Rice University, Houston, TX, USA