Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP150100837
Funding Status
Closed
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Funded Activity Summary
Automatic Energy Tuning of Parallel Applications on a Hybrid Supercomputer. Energy efficiency is a critical challenge in building next-generation supercomputers. This project aims to provide a new energy-tuning tool integrated with Cray’s systems, to simplify the process of tuning hybrid applications and managing efficient energy use. Although hardware components play a dominant role in saving energy, heterogeneous systems offer the opportunity to exploit the extremely high concurrency with modest energy consumption using accelerators. Accordingly, the future of parallel computing must consider the trade-off between obtaining the optimal performance and the allowed power budget. The project plans to design parallel programming environments that support energy analysis and tuning.Funded Activity Details
Start Date: 06-2016
End Date: 12-2019
Funding Scheme: Linkage Projects
Funding Amount: $430,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Software Engineering | Computer Software | Numerical Computation | Concurrent Programming
ANZSRC Socio-Economic Objective (SEO)
Environmentally Sustainable Information and Communication Services not elsewhere classified | Application Tools and System Utilities |
