Empirical measurement of instruction level parallelism for four generations of ARM CPUs

Authors:
Martin Johnson;Ken Hawick
Affiliations:
Massey University, Auckland, New Zealand;Massey University, Auckland, New Zealand
Venue:
Proceedings of the 2013 International Workshop on Programming Models and Applications for Multicores and Manycores
Year:
2013

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Abstract

Parallel computing at all levels is becoming important in all devices and not least in mobile and embedded systems. Many wireless, mobile and deployable devices make use of the ARM CPU and its variants. We report on investigations into measuring instruction level parallelism on the ARM processor and on characterising the fine grained parallelism of four generations of ARM cores. We discuss the implications for future applications that use such devices with parallelism and for the future of mobile computing device architectures.