h3-Open-BDEC: Innovative Software Platform for Scientific Computing in the Exascale Era
We propose an innovative method for computational science for sustainable promotion of scientific discovery by supercomputers in the Exascale Era by combining (Simulation + Data + Learning (S+D+L)). In May 2021, we start operation of the Wisteria/BDEC-01 system with 33+PF at University of Tokyo. It is a Hierarchical, Hybrid, Heterogeneous (h3) system, which consists of computing nodes for CSE with A64FX and those for Data Analytics/AI with NVIDIA A100 GPU’s. We develop a software platform “h3-Open-BDEC” for integration of (S+D+L) and evaluate the effects of integration of (S+D+L) on the Wisteria system. The h3-Open-BDEC is designed for extracting the maximum performance of the supercomputers with minimum energy consumption focusing on (1) innovative method for numerical analysis with high-performance/high-reliability/power-saving based on the new principle of computing by adaptive precision, accuracy verification and automatic tuning, and (2) Hierarchical Data Driven Approach (hDDA) based on machine learning. Integration of (S+D+L) by h3-Open-BDEC enables significant reduction of computations and power consumption, compared to those by conventional simulations.