The Scientific-Industrial Advisory Board (SIAB) provides a cost-effective mechanism for quickly obtaining real-world feedback on project interim results, as well as at a scientific level. Moreover, it facilitates industry’s direct participation in identifying and pursuing exploitation opportunities. They are comprised of experts in the areas of programming models/runtime systems, performance tools, and performance optimization.
The SIAB has been identified by the General Assembly (GA) in order to meet the following objectives:
- Evaluate the scientific quality and practical application of the work.
- Provide expert opinion relating to the development of EPEEC programs and tools.
- Assist in the dissemination of the project's results
Scientific-Industrial Advisory Board Members:
HPC Relations Manager
Chief Executive Officer - OpenMP ARB
Applied Research Scientist
Assistant Professor - University of Delaware
Director - OpenACC User Adoption
KTH Royal Institute of Technology
Head of Advanced Parallel Computing Lab
Atos Research and Innovation
Senior Distinguished Research Scientist and Senior Research Director at NVIDIA
"EPEEC is a necessary effort towards letting scientists do science, not computer science, in the era of Exascale."
Frederic Pariente, HPC Relations Manager NVIDIA.
“The technical contributions of this project are impressive thus far. As the CEO of the OpenMP Architecture Review Board, I’m keen to hear more about the great results and start a conversation about potential benefits for the OpenMP API Specification.”
Michael Klemm, Principal Engineer Intel Deutschland GmbH and CEO OpenMP ARB.
“Overall, great job. This project is coming along really well.”
Pavan Balaji, Applied Research Scientist Facebook
"Productivity at Exascale without compromising on performance is a topic of paramount importance. It is fantastic to see EPEEC is getting to the bottom of it while interacting with users and stakeholders."
"It is great to note how the directive-based models (OpenMP and OpenACC) have been interacting with OmpSs thus making the best use of both worlds. It is also great to see the team exploring applications from different domains and evaluating the hybrid models using these applications. Looking forward to performant yet portable success stories out of this project!"
Sunita Chandrasekaran, Assistant Professor University of Delaware and Director OpenACC User Adoption
“I am impressed by the current results of the project. In particular, the work on just-in-time compilation for heterogeneous systems, tasks on GPU, and data placement on heterogenous memories are timely and compelling research topics. This work could considerably impact HPC research in the next few years.”
Stefano Markidis, Associate Professor KTH Royal Institute of Technology