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.
Original language | English |
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Title of host publication | PERMAVOST 2022 - Proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy, co-located with HPDC 2022 |
Publisher | Association for Computing Machinery, Inc |
Pages | 23-24 |
Number of pages | 2 |
ISBN (Electronic) | 9781450393140 |
DOIs | |
State | Published - Jun 30 2022 |
Event | 2nd Workshop on Performance Engineering, Modelling, Analysis, and Visualization Strategy, PERMAVOST 2022 - Virtual, Online, United States Duration: Jun 30 2022 → … |
Publication series
Name | PERMAVOST 2022 - Proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy, co-located with HPDC 2022 |
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Conference
Conference | 2nd Workshop on Performance Engineering, Modelling, Analysis, and Visualization Strategy, PERMAVOST 2022 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 06/30/22 → … |
Funding
Radita Liem is a research assistant working at the RWTH Aachen University in cooperation with Prof. Dr. Matthias Müller. She received her master degree from the University of Tartu, Estonia. Currently, she is working with the POP (Performance Optimization and Productivity) Center of Excellence project funded by the European Union Horizon 2020 to provide performance analysis and proof of concept for improving scientific applications?performance. Tirthak Patel is an incoming Assistant Professor at the Rice University Computer Science Department. He is currently a Computer Engineering Ph.D. Candidate at Northeastern University conducting systems level research at the intersection of quantum computing and high-performance computing (HPC). His research explores the trade-offs among factors affecting reliability, performance, and efficiency, for which he has received the NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS D-3) and the ACM-IEEE CS George Michael Memorial HPC Fellowship.
Keywords
- Cloud Computing
- GPU
- Parallel
- Quantum Computing