Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (2013)
Edinburgh, United Kingdom United Kingdom
Sept. 7, 2013 to Sept. 11, 2013
David Kuck , Intel Corp., Hillsboro, OR, USA
Summary form only given. Energy/performance results for parallel (and sequential) computing are still, usually hard to predict and often disappointing. A model using invariant-based equations is being applied to predict energy/performance as HW and SW are changed in codesign studies. The physical model consists of HW nodes chosen to match architectural issues, together with automatically extracted SW codelets that are easy to measure and model. HW/SW measurements of computational capacity (BW used) and power [based on HW counters and SW modification (Decan)] are used by the Cape tool to evaluate tradeoffs quickly and find optimal solutions to various codesign problems. Codelets from a number of real applications are being analyzed and modeled.
Computational modeling, Mathematical model, Awards activities, Biological system modeling, Abstracts, Predictive models, Equations,thread packing, DVFs, manycore processor, power budget allocation, power-performance optimization, runtime system, scalability
David Kuck, , , "Coordinated power-performance optimization in manycores", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 1, 2013, doi:10.1109/PACT.2013.6618796