The EU Performance Optimisation and Productivity Centre of Excellence in HPC (POP CoE) operated from October 2015 to May 2022. In its lifetime, it provided over 400 Performance Assessment or Proof-of-Concept services free of charge to many academic and research organisations, SMEs, ISVs, or companies in Europe. The services were based on the successful POP Performance Metrics and Methodology developed in the project. It also organized dozens of training courses on performance analysis method and tools for HPC applications, developed online training modules, and ran a very successful series of webinars. Finally, it developed a “Resources for Co-design” website, which offers a resource for application developers, performance analysts and system designers (hardware and software) to understand the sort of problems they can encounter when executing on HPC systems.
In this final webinar, project coordinator Jesús Labarta from BSC gives an overview of the achievements of the project, discusses its impact, and provides lessons learned after running the POP CoE for six and a half year.
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About the Presenter
Prof. Jesús Labarta received his Ph.D. in Telecommunications Engineering from UPC in 1983, where he has been a full professor of Computer Architecture since 1990. He was Director of European Center of Parallelism at Barcelona from 1996 to the creation of BSC in 2005, where he is the Director of the Computer Sciences Dept. His research team has developed performance analysis and prediction tools and pioneering research on how to increase the intelligence embedded in these performance tools. He has also led the development of OmpSs and influenced the task based extension in the OpenMP standard. He has led the BSC cooperation with many IT companies. He is now responsible for the POP center of excellence, providing performance assessments to parallel code developers throughout the EU, and leads the RISC-V vector accelerator within the EPI project. He has pioneered the use of Artificial Intelligence in performance tools and will promote their use in POP, as well as the AI-centric co-designing of architectures and runtime systems. He was awarded the 2017 Ken Kennedy Award for his seminal contributions to programming models and performance analysis tools for high performance computing, being the first non-US researcher to receive it.