Workshop on the In Situ Co-Execution of High-Performance Computing & Data Analysis

Organizers:

• Julien Bigot (Commissariat à l'énergie atomique et aux énergies alternatives)
• Bruno Raffin (Inria)

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Abstract:

Exascale promises to support disruptive numerical experiments generating unprecedented quantity and quality of data. Only the latest advances in automated data analytics based on machine-learning or statistical analysis will make it possible to extract knowledge out of the data generated at this scale. It is thus critical to consider the numerical experiment as a whole, encompassing both its simulation (HPC) and data-analytics (HPDA) aspects. These two aspects need to be efficiently coupled to overcome the widening performance gap between compute and I/O. This also opens the road for innovative numerical patterns where the outcome of analytics is used to steer the simulation and greatly increase the scientific return of investment for numerical experiments.

HP-C/DA focuses on the latest advances and challenges for the co-execution of HPC & HPDA workloads on supercomputers. it brings together all stakeholders concerned by the in situ co-execution of HPC and HPDA workloads: 1)computer-scientists interested in high-performance applications modularization and coupling, 2)developers of services and tools for HPDA on supercomputers, 3)application developers, 4)application scientists concerned with innovative HPC & HPDA couplings at scale. The workshop will act as a discussion forum for all parties involved in order to identify the requirements and best research directions.

Visit the Workshop Website