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Lookup NU author(s): Mohammed Al-Hayanni, Dr Ashur Rafiev, Dr Fei Xia, Professor Rishad Shafik, Emeritus Professor Alexander RomanovskyORCiD, Professor Alex Yakovlev
Performance and energy efficiency considerations have shifted computing paradigms from single-core to many-corearchitectures. At the same time, traditional speedup models such as Amdahl’s Law face challenges in the run-time reasoning for system performance and energy efficiency, because these models typically assume limited variations of the parallel fraction. Moreover, the parallel fraction, which varies dynamically in workloads, is generally unknown at run-time without application-level instrumentation. This paper describes novel performance/energy trade-off models based on realistic architectural considerations, which describe the parallel fraction and speedup as functions of performance counter values available in modern processors, removing the need for application-level instrumentation. These are then used to develop a Parallelization-Aware Run-time Management (PARMA) approach. PARMA aims at controlling core allocations and operating voltage/frequency points for energy efficiency, according to the varying workload parallel fractions. The efficacy of our models and the PARMA approach is extensively validated using a number of PARSEC benchmark applications, involving two performance/energy trade-off metrics: energy-delay-product (EDP), typically used in high-performance applications and energy per instruction (EPI), suitable for energy-aware applications. Up to 48 and 68 per-cent improvements in EDP and EPI have been observed using the PARMA approach compared with parallelization-agnostic methods.
Author(s): Al-hayanni MAN, Rafiev A, Xia F, Shafik R, Romanovsky A, Yakovlev A
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Computers
Year: 2020
Volume: 69
Issue: 10
Pages: 1507-1518
Print publication date: 01/10/2020
Online publication date: 24/02/2020
Acceptance date: 16/02/2020
Date deposited: 18/02/2020
ISSN (print): 0018-9340
ISSN (electronic): 1557-9956
Publisher: IEEE
URL: https://doi.org/10.1109/TC.2020.2975787
DOI: 10.1109/TC.2020.2975787
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