Imperial College London

ProfessorWayneLuk

Faculty of EngineeringDepartment of Computing

Professor of Computer Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8313w.luk Website

 
 
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Location

 

434Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tsoi:2011:10.1145/2082156.2082159,
author = {Tsoi, KH and Luk, W},
doi = {10.1145/2082156.2082159},
journal = {ACM SIGARCH Computer Architecture News},
pages = {8--13},
title = {Power profiling and optimization for heterogeneous multi-core systems},
url = {http://dx.doi.org/10.1145/2082156.2082159},
volume = {39},
year = {2011}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - <jats:p>Processing speed and energy efficiency are two of the most critical issues for computer systems. This paper presents a systematic approach for profiling the power and performance characteristics of application targeting heterogeneous multi-core computing platforms. Our approach enables rapid and automated design space exploration involving optimisation of workload distribution for systems with accelerators such as FPGAs and GPUs. We demonstrate that, with minor modification to the design, it is possible to estimate performance and power efficiency trade off to identify optimized workload distribution. Our approach shows that, for N-body computation, the fastest design which involves 2 CPU cores, 10 FPGA cores and 40960 GPU threads, is 2 times faster than a design with only FPGAs while achieving better overall energy efficiency.</jats:p>
AU - Tsoi,KH
AU - Luk,W
DO - 10.1145/2082156.2082159
EP - 13
PY - 2011///
SN - 0163-5964
SP - 8
TI - Power profiling and optimization for heterogeneous multi-core systems
T2 - ACM SIGARCH Computer Architecture News
UR - http://dx.doi.org/10.1145/2082156.2082159
VL - 39
ER -