Computer Engineering and Technology: 20th CCF Conference, by Weixia Xu, Liquan Xiao, Jinwen Li, Chengyi Zhang, Zhenzhen

By Weixia Xu, Liquan Xiao, Jinwen Li, Chengyi Zhang, Zhenzhen Zhu

This booklet constitutes the refereed court cases of the twentieth CCF convention on laptop Engineering and expertise, NCCET 2016, held in Xi'an, China, in August 2016. The 21 complete papers offered have been rigorously reviewed and chosen from one hundred twenty submissions. they're equipped in topical sections on processor structure; software particular processors; laptop software and software program optimization; know-how at the horizon.

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Extra info for Computer Engineering and Technology: 20th CCF Conference, NCCET 2016, Xi'an, China, August 10-12, 2016, Revised Selected Papers

Example text

Unit-level test stimulus are extracted from the program traces of core-level. And core-level testing programs are derived from system-level benchmarks. Core-level programs can be reused in system-level testing. Fig. 2. Performance modeling interaction of different abstraction levels These interactive relations ensure a consistent view of all performance levels. 4 Practice of the Methodology In this section, an example will be given to show the practice of the performance verification methodology.

Lett. 11(2), 37–40 (2012) 23. : Efficient conditional operations for data-parallel architectures. In: Proceedings of the 33rd Annual ACM/IEEE International Symposium on Microarchitecture,pp. 159–170. ACM, NewYork (2000) 24. cn Abstract. The tested performance of a microprocessor chip is more important than the predicted performance of it’s model. However, performance deviations are often introduced during the design stages. In order to identify and fix the performance defects, a hierarchical performance verification methodology is proposed.

In: Proceedings of the 2010 International Conference on Power Aware Computing and Systems, pp. 1–8. USENIX Association (2010) 10. : Runtime DVFS control with instrumented code in power-scalable cluster system. In: 2008 IEEE International Conference on Cluster Computing, pp. 354–359. IEEE (2008) 11. : Performance-constrained distributed DVS scheduling for scientific applications on power-aware clusters. In: Proceedings of the 2005 ACM/IEEE conference on Supercomputing, p. 34. IEEE Computer Society (2005) 12.

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