TY - GEN
T1 - A library-based tool to improve CPU assignment for multicore processor-based pervasive servers
AU - Ohno, Yuki
AU - Akioka, Sayaka
AU - Sugaya, Midori
AU - Nakajima, Tatsuo
PY - 2010/11/24
Y1 - 2010/11/24
N2 - This paper proposes SPLiT (Scalable Performance Library Tool) as the methodology to improve performance of applications on multicore processors, through CPU, and cache optimizations. SPLiT analyzes applications based on cycle counts, and cache misses, and predicts behavior of the applications according to the analysis. With these acquired knowledge on the target application, SPLiT improves CPU resource allocation determined by operating systems. SPLiT, and SPLiT library are designed to achieve resource optimizations based on the combination of hardware information collected by Operating System kernel, and software information collected by applications. Additionally, all the features of SPLiT are immediately available with the small modifications to the application source codes, and the modifications are basically to implant SPLiT library calls into the source code. This simple requirement diminishes programmers' difficulties for performance tuning of multicore applications. Through empirical experiments, we validated the efficiency of SPLiT, and observed that performance of the web application was improved by 26%.
AB - This paper proposes SPLiT (Scalable Performance Library Tool) as the methodology to improve performance of applications on multicore processors, through CPU, and cache optimizations. SPLiT analyzes applications based on cycle counts, and cache misses, and predicts behavior of the applications according to the analysis. With these acquired knowledge on the target application, SPLiT improves CPU resource allocation determined by operating systems. SPLiT, and SPLiT library are designed to achieve resource optimizations based on the combination of hardware information collected by Operating System kernel, and software information collected by applications. Additionally, all the features of SPLiT are immediately available with the small modifications to the application source codes, and the modifications are basically to implant SPLiT library calls into the source code. This simple requirement diminishes programmers' difficulties for performance tuning of multicore applications. Through empirical experiments, we validated the efficiency of SPLiT, and observed that performance of the web application was improved by 26%.
UR - http://www.scopus.com/inward/record.url?scp=78449311065&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78449311065&partnerID=8YFLogxK
U2 - 10.1109/RTCSA.2010.21
DO - 10.1109/RTCSA.2010.21
M3 - Conference contribution
AN - SCOPUS:78449311065
SN - 9780769541556
T3 - Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010
SP - 114
EP - 123
BT - Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010
T2 - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010
Y2 - 23 August 2010 through 25 August 2010
ER -