Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers

In this paper, we present our ongoing research project. The objective of this project is to develop advanced computing and optimization infrastructures for extremely large-scale graphs on post peta-scale supercomputers. We explain our challenge to Graph 500 and Green Graph 500 benchmarks that are designed to measure the performance of a computer system for applications that require irregular memory and network access patterns. The 1st Graph500 list was released in November 2010. The Graph500 benchmark measures the performance of any supercomputer performing a BFS (Breadth-First Search) in terms of traversed edges per second (TEPS). We have implemented world’s first GPU-based BFS on the TSUBAME 2.0 supercomputer at Tokyo Institute of Technology in 2012. The Green Graph 500 list collects TEPS-per-watt metrics. In 2014, our project team was a winner of the 8th Graph500 benchmark and 3rd Green Graph 500 benchmark. We also present our parallel implementation for large-scale SDP (SemiDefinite Programming) problem. We solved the largest SDP problem (which has over 2.33 million constraints), thereby creating a new world record. Our implementation also achieved 1.713 PFlops in double precision for large-scale Cholesky factorization using 2,720 CPUs and 4,080 GPUs on the TSUBAME 2.5 supercomputer.