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PERMAVOST '22: Proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy
ACM2022 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing Minneapolis MN USA 30 June 2022
ISBN:
978-1-4503-9314-0
Published:
27 June 2022
Sponsors:

Bibliometrics
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Abstract

It is our great pleasure to welcome you to the 22nd Workshop on Performance Engineering, Modelling, Analysis, and Visualization Strategy - PERMAVOST 2022.

Modern software engineering is getting increasingly complicated. In the HPC field, we are dealing with cutting-edge infrastructure and a novel problem on an unprecedented scale. The scale here is not only in terms of the HPC infrastructure but also, in terms of the people involved. Modernday HPC projects involve a wide variety of experts. From application analysts, and tools developers to domain scientists, all with varying degrees of knowledge in HPC performance analysis. We created this workshop in the hope of bridging these stakeholders, creating a robust feedback loop to answer future challenges in performance modeling, analysis, engineering, and visualization.

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SESSION: Keynote Talks
keynote
Performance Evaluation Through Simulation with SimGrid

In most scientific domains, results are now obtained thanks to computational science that heavily relies on numerical simulations. This in turn leads to a tremendous increase in size and complexity of the underlying computing infrastructures. The ...

keynote
Public Access
Integrating Visualization (and Visualization Experts) with Performance Analysis

Identifying and understanding poor performance is an increasingly difficult task due to the growing complexity and scale of target applications and systems. Visualization is an important tool for exploratory and comprehension-centered goals, leading to ...

SESSION: Paper Presentation
research-article
Open Access
An Overhead Analysis of MPI Profiling and Tracing Tools

MPI performance analysis tools are important instruments for finding performance bottlenecks in large-scale MPI applications. These tools commonly support either the profiling or the tracing of parallel applications. Depending on the type of analysis, ...

research-article
Server-Side Workload Identification for HPC I/O Requests

In this paper, we develop a method to identify High Performance Computing (HPC) workloads from a stream of incoming I/O requests. This characterization of workloads could then be used to intelligently schedule the I/O requests in the parallel file ...

SESSION: Panel
panel
PERMAVOST'22 Discussion Panel: Domain Scientists vs. Performance Analysis Tools: Advancing in HPC

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 ...

Contributors
  • The University of Utah
  • RWTH Aachen University
  • Federal University of Rio Grande do Sul
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