4th Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy

In conjunction with ACM HPDC 2024. June 3-4, 2024, Pisa, Italy

Workshop Abstract

Modern software engineering is getting increasingly complicated. Especially in the HPC field, we are dealing with cutting edge infrastructure and a novel problem with unprecedented scale. The ability to monitor and analyze the performance of such applications and infrastructure is imperative for the future of improvement, design, and maintenance. In the current era, the writing and maintenance of these applications have ceased to be the job solely of computer scientists and have grown to encompass a wide variety of experts in mathematics, science, and other engineering disciplines. The fact that many developers from these disciplines have not received a formal education in computer science and rely increasingly on the tools created by computer scientists to analyze and optimize their code shows that there's a need for a forum to work together.

Workshop Overview

The Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy (PERMAVOST) goal is to bridge tools developers and end users of performance analysis tools. It is a half/full day workshop with a keynote in conjunction with HPDC 2024. We are hoping that the stakeholders, which are application developers, domain scientists, analyst, and tools developers can collaborate and build a bridge to fill in the gaps in various topics such as:

  • Key metrics, patterns, and performance pitfalls including the strategies to recognize and use the performance information to improve the applications.
  • Facing challenges that are coming from the new computing architecture, programming paradigm, novel scientific problems, and various scales of data that need to be processed effectively.
  • Research and needs to use modern principles of usability design integrated inside performance analysis tools to better aid its users.
  • Analysis and methodology that can be utilized and understood for users with various HPC knowledge spectrum.

Topics of Interest

Our workshop encompasses the following topics of interest, but are not limited to:

  • Performance analysis and modelling on the real world applications
  • Data visualization in high level performance analysis
  • Usability studies of HPC tools
  • Inefficiencies in programming patterns or computing architecture
  • Patterns, anomaly detection, and performance characterization in HPC applications
  • Performance engineering strategies and use cases
  • Human-Computer Interfaces for exploring performance data
  • Energy management in performance analysis and engineering
  • Performance analysis in Emerging HPC topics: Artificial Intelligence, Machine Learning, Quantum Computing, Container, and Cloud

Call for Paper

All submitted papers should be formatted using the ACM Master Template with sigconf format (please be sure to use the current version). The necessary document can be found here.

General Instructions

  • Full 5-8 page papers (including all text, figures and references)
  • Submissions must be in English and PDF format
  • Only web-based submissions are allowed. Paper needs to be submitted via PERMAVOST 2024 HotCRP link:
  • We use single-blind reviewing process so you can keep authors' names, publications, etc.
  • Each paper will get atleast three reviews from the committee members
  • The submitted papers must be original work that have not previously been published or under consideration for publication in any other conference or journal
  • Accepted papers will be published in the workshop proceeding as part of the ACM Digital Library

Workshop Chair

  • Radita Liem - RWTH Aachen University
  • Ayesha Afzal - NHR@FAU Erlangen-Nürnberg
  • Pouya Kousha - The Ohio State University
  • Zhaobin Zhu - Goethe University Frankfurt
  • Joseph Lee - EPCC

Program Committee

  • Chen Wang - Lawrence Livermore National Lab
  • Chih-Kai Huang - INRIA Rennes
  • Christian Terboven - RWTH Aachen University
  • Connor Scully-Allison - University of Utah
  • DK Panda - The Ohio State University
  • Eleanor Broadway - EPCC
  • Georg Hager - NHR@FAU Erlangen-Nürnberg
  • Hariharan Devarajan - Lawrence Livermore National Lab
  • Hari Subramoni - The Ohio State University
  • Jay Lofstead - Sandia National Lab
  • Lenny Guo - Pacific Northwest National Lab
  • Manpreet Singh Jattana - Goethe University Frankfurt
  • Nathan Talllent - Pacific Northwest National Lab
  • Sarah Neuwirth - Johannes Gutenberg-Universität Mainz
  • Thomas Ilsche - ZIH TU Dresden
  • Tyler Allen - UNC Charlotte
  • Wolfgang Frings - Jülich Supercomputing Centre


If you have any problems or questions, please contact us via e-mail at: and

Past Workshops

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