2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy - In Conjunction with ACM HPDC 2022, Minneapolis, Minnesota(PERMAVOST 2022)

Deadlines

• Submission Deadline - March 18, 2022
• Notification - April 21, 2022
• Camera ready deadline - May 13, 2022
• Workshop - June 30, 2022

Summary

Modern software engineering is getting increasingly complicated. The ability to monitor and analyze HPC applications and infrastructure's performance 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. Many developers from these disciplines rely increasingly on the tools created by computer scientists to analyze and optimize their code, which shows that there's a need for a forum to work together.

The 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy (PERMAVOST'22). PERMAVOST bridges application developers and 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 new 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 needs to use modern principles of usability design integrated inside performance analysis tools to better aid its users.

Call for papers

PERMAVOST solicits papers with encompass any of the following topics of interest:

• Performance analysis and modeling on the real world applications
• Data visualization in high level performance analysis
• 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 Cloud environment and other ubiquitous technology
• Machine learning aided performance analysis

Paper formatting and proceedings

Full papers from 6 to 8 pages including figures and references. All submitted papers should be formatted using the ACM Master Template with sigconf format and must be submitted in PDF format. Only web-based submissions are allowed via EasyChair: https://easychair.org/conferences/?conf=permavost22 We use single-blind reviewing process with 3 reviews per paper.Accepted papers will be published in the workshop proceeding as part of the ACM Digital Library.