RIKEN Center for Computational Science Application Development Team

Aiming for maximizing the outcome from post K-computer, Application Development Team conducts the R&D with the related researchers from architecture, system software and algorithm field. Its core missions are:

• 1.Co-design based on target applications
  The team executes the co-design of application and system through the performance analysis and optimization of the "target applications" that have been chosen by the advisory panel of MEXT as the priority social and scientific challenges, in cooperation with the counterpart agencies and the colleague teams in this project. The team also works with the co-design promotion team to develop the new algorithm and the implementation method. The optimization methodology is recorded and utilized by the following applications.
• 2.Establishment of the application benchmark suites for system performance evaluation
  The team develops and maintains the "mini-apps" that are designed to represent the same performance characteristics as the full applications from major computational science domains. It is designed to be compact and easy to run, and is made available in source code format, which is often not the case with the full applications. They are studied from various analysis angles and are executed for performance collection on supercomputers including K-computer, and are hoped to be used internationally as the standard tool for system performance evaluation. Collaborative research with the universities is conducted, aiming for the establishment of the future oriented system performance evaluation methodology.
• 3.Application infrastructure R&D
  The team, along with the R&D department of AICS, develops the application infrastructure including the libraries and frameworks which are important elements in maximizing the outcome of the users of post K-computer.

The team also leads the promotional activities to continue the research work done through the "Feasibility Study on Future HPC Infrastructures (Application Working Group)", extracting the social and scientific challenges to be solved by HPC during next 5-10 years.

Main Research Fields

• Environmental Science

Related Research Fields

• Interdisciplinary Science & Engineering

Keywords

• Co-design based on target applications
• Establishment of the application benchmark suites for system performance evaluation
• Application infrastructure R&D