An Innovative Method for Integration of Simulation/Data/Learning in the Exascale/Post-Moore Era

Kengo Nakajima, The University of Tokyo/RIKEN R-CCS

Supercomputing in the Exa-scale and the Post-Moore Era is inherently different from that in the Peta-scale Era and before. Although supercomputers have been the essential tool for computational science in recent 30 years, they are now used for other purposes, such as data analytics and machine learning. The architecture of the next generation supercomputing system is essentially heterogeneous for these multiple purposes (simulations + data + learning). In the present work, we propose a new innovative method for integration of computational and data science (Big Data & Extreme Computing, BDEC) for sustainable promotion of new scientific discovery by supercomputers in the Exa-Scale/Post-Moore Era with heterogeneous architecture. {\bf h3-Open-BDEC} (h3: hierarchical, hybrid, heterogeneous) is an open source infrastructure for development and execution of optimized and reliable codes for BDEC on such supercomputers.　In this presentation, we will overview the h3-Open-BDEC, and the target supercomputer system, which will start operation in April 2021.