SCHEDULE: NOV 15-20, 2015

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Implicit Nonlinear Wave Simulation with 1.08T DOF and 0.270T Unstructured Finite Elements to Enhance Comprehensive Earthquake Simulation

SESSION: ACM Gordon Bell Finalist II

EVENT TYPE: Awards Presentations, ACM Gordon Bell Finalists

EVENT TAG(S): Performance, HPC Beginner Friendly, Applications

TIME: 10:30AM - 11:00AM

SESSION CHAIR(S): Subhash Saini

AUTHOR(S):Tsuyoshi Ichimura, Kohei Fujita, Pher Errol Balde Quinay, Lalith Maddegedara, Muneo Hori, Seizo Tanaka, Yoshihisa Shizawa, Hiroshi Kobayashi, Kazuo Minami

ROOM:17AB

ABSTRACT:

This paper presents a new heroic computing method for unstructured, low-order, finite-element, implicit nonlinear wave simulation: 1.97 PFLOPS (18.6% of peak) was attained on the full K computer when solving a 1.08T-degrees-of-freedom (DOF) and 0.270T-element problem. This is 40.1 times more DOF and elements, a 2.68-fold improvement in peak performance, and 3.67 times faster in time-to-solution compared to the SC14 Gordon Bell finalist's state-of-the-art simulation. The method scales up to the full K computer with 663,552 CPU cores with 96.6% sizeup efficiency, enabling solving of a 1.08T-DOF problem in 29.7 s per time step. Using such heroic computing, we solved a practical problem involving an area 23.7 times larger than the state-of-the-art, and conducted a comprehensive earthquake simulation by combining earthquake wave propagation analysis and evacuation analysis. Application at such scale is a groundbreaking accomplishment and is expected to change the quality of earthquake disaster estimation and contribute to society.

Chair/Author Details:

Subhash Saini (Chair) - NASA Ames Research Center|

Tsuyoshi Ichimura - University of Tokyo

Kohei Fujita - RIKEN

Pher Errol Balde Quinay - Niigata University

Lalith Maddegedara - University of Tokyo

Muneo Hori - University of Tokyo

Seizo Tanaka - University of Tsukuba

Yoshihisa Shizawa - Research Organization for Information Science and Technology

Hiroshi Kobayashi - Research Organization for Information Science and Technology

Kazuo Minami - RIKEN

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