Fifteen Years of International HPC Summer School

Since 2010, the International HPC Summer School (IHPCSS) has trained more than 1,500 graduate students and early-career researchers in high-performance computing (HPC). Originally a European-US collaboration, it now includes Japan, Canada, Australia and South Africa, and serves around 80 students and 40 staff each year. This paper examines the evolution of the technical program, which initially focused on domain-specific scientific applications and MPI/OpenMP programming, but later expanded to include emerging technologies like GPU acceleration, Python for HPC, big data analytics, and AI/ML. It also discusses the challenges IHPCSS faced - technical, logistical, and demographic - and how they were addressed through real-time HPC access, mentorship, and adaptable sessions for mixed-skill audiences. IHPCSS continues to provide inclusive and high-quality trainings around the world by integrating new technologies and responding to participant feedback, while maintaining the core principles of HPC.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-23
DOI
https://doi.org/10.5281/zenodo.16759054
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Fifteen Years of International HPC Summer School

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Fifteen Years of International HPC Summer School

article en

Abstract

Since 2010, the International HPC Summer School (IHPCSS) has trained more than 1,500 graduate students and early-career researchers in high-performance computing (HPC). Originally a European-US collaboration, it now includes Japan, Canada, Australia and South Africa, and serves around 80 students and 40 staff each year. This paper examines the evolution of the technical program, which initially focused on domain-specific scientific applications and MPI/OpenMP programming, but later expanded to include emerging technologies like GPU acceleration, Python for HPC, big data analytics, and AI/ML. It also discusses the challenges IHPCSS faced - technical, logistical, and demographic - and how they were addressed through real-time HPC access, mentorship, and adaptable sessions for mixed-skill audiences. IHPCSS continues to provide inclusive and high-quality trainings around the world by integrating new technologies and responding to participant feedback, while maintaining the core principles of HPC.

Zenodo (CERN European Organization for Nuclear Research)
University of Edinburgh (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Scientific Computing and Data Management
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