ppOpen-HPC: Open Source Infrastructure for Development and Execution of Large-Scale Scientific Applications on Post-Peta-Scale Supercomputers with Automatic Tuning (AT)

Research Project Outline

We propose an open source infrastructure for development and execution of optimized and reliable simulation codes on post-peta (pp) scale parallel computers with heterogeneous computing nodes which consist of multicore CPU's and accelerators., named “ppOpen-HPC”. ppOpen-HPC consists of various types of libraries, which covers various types of procedures for scientific computations. Source code developed on a PC with a single processor is linked with these libraries, and generated parallel code is optimized for post-peta scale system. Capability of automatic tuning is important and critical technology for further development on new architectures and maintenance of the framework.

Research Director
Professor, The University of Tokyo
Research Started
Research Area
Development of System Software Technologies for post-Peta Scale High Performance Computing
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