[hpc-announce] CFP PERMAVOST 2023 - 3rd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy - Held in conjunction with ACM HPDC 2023

Afzal, Ayesha ayesha.afzal at fau.de
Fri Mar 17 11:50:32 CDT 2023

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3rd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy

In conjunction with ACM HPDC 2023, Orlando, Florida, US

Submission deadline ------------------- April 1, 2023, 11:59 pm AoE

Notification ------------------------------- April 20, 2023

Camera ready deadline ---------------- May 12, 2023

Workshop --------------------------------- June 20, 2023

Website: https://permavost.github.io<https://permavost.github.io/>

Submissions: https://easychair.org/cfp/PERMAVOST23



Modern software engineering is getting increasingly complicated. Effective monitoring and analysis of High-Performance Computing (HPC) applications and infrastructure is critical for ongoing improvement, design, and maintenance. The development and maintenance of these applications expand beyond the realm of computer science to encompass a diverse range of experts in mathematics, science, and other engineering disciplines. Many developers from these disciplines rely increasingly on the tools created by computer scientists to analyze and optimize their code. Thus, there is a pressing need for a forum to bring together a diverse group of experts between these different communities to share their experiences, collaborate on solving challenges, and work towards advancing the field of HPC performance analysis and optimization.

Topics of interest


PERMAVOST bridges application developers and HPC domain scientists with end users of performance analysis tools. We gather performance engineering, analysis, and visualization in a workshop to fill in the gaps in topics such as:

- Key metrics, patterns, and performance pitfalls, including the strategies to recognize and use the performance information to improve applications

- Facing challenges that are coming from emerging computing architectures, programming paradigms, and various scale of data that needs to be processed effectively

- Analysis and methodologies that can be utilized and understood for users with various HPC knowledge spectrum

- Research and needs to use modern principles of usability design integrated inside performance analysis tools to better aid its users and wider spectrum of users



We solicit papers which encompass the following topics of interest, but are not limited to:

* Performance analysis and modeling 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

* Analyzing application performance in the Cloud and other

 ubiquitous technology

* Energy management in performance analysis and engineering

* Artificial Intelligence in performance analysis

* Quantum Computing in performance analysis

Accepted papers will be published in the workshop proceeding as part of the ACM Digital Library.

Format and proceedings


The length of the full paper is 6 to 8 pages, including figures and references. All papers must be submitted in PDF format and formatted according to the ACM Master Template<https://www.acm.org/publications/proceedings-template> with sigconf format (\documentclass[sigconf]{acmart}). The submitted papers must be original work that have not previously been published or under consideration for publication in any other conference or journal. Each paper will receive three single-blind reviews from the committee members. Only web-based submissions are allowed via EasyChair. For more information, please visit:


Workshop Chairs


Radita Liem - RWTH Aachen University, Germany

Connor Scully-Allison - University of Arizona, USA

Ana Veroneze Solórzano - Northeastern University, USA

Ayesha Afzal - Erlangen National High Performance Computing Center, Germany

Pouya Kousha - The Ohio State University, USA

Program Committee: https://permavost.github.io/index.html#organization


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