Advanced Parallel Processing Technologies: 9th International by Kunal Korgaonkar, Prabhat Jain, Deepak Tomar (auth.),

By Kunal Korgaonkar, Prabhat Jain, Deepak Tomar (auth.), Olivier Temam, Pen-Chung Yew, Binyu Zang (eds.)

This ebook constitutes the refereed complaints of the ninth foreign Symposium on complex Parallel Processing applied sciences, APPT 2011, held in Shanghai, China, in September 2011.

The thirteen revised complete papers provided have been rigorously reviewed and chosen from forty submissions.
The papers are geared up in topical sections on parallel disbursed approach architectures, structure, parallel software and software program, dispensed and cloud computing.

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Additional info for Advanced Parallel Processing Technologies: 9th International Symposium, APPT 2011, Shanghai, China, September 26-27, 2011. Proceedings

Sample text

LRU fits recency-friendly access patterns. BIP fits for thrashing and streaming access patterns. Mixed access patterns can be characterized as workloads where some references have a near re-reference interval while other references have a distant re-reference interval. Consequently, in the absence of scans, mixed access patterns prefer LRU. In the presence of streaming, LRU gets lower hit rate after the streaming. The optimal policy preserves the active working set in the cache after the stream completes.

Fig. 7 shows the normalized execution time compared to baseline. 0% reduction. Neither of them increase execution time. For different workloads, RWA and I-RWA have different effects according to different write patterns. Dirty lines with many re-references are more suitable for RWA, while dirty lines with seldom re-references are more suitable for I-RWA. 42 X. Zhang et al. 8 Fig. 7. Normalized Execution Time with DRAM buffer 5 Related Work Several previous research focused on reducing high latency incurred by PCM.

1 Enhanced Adaptive Insertion Policy Enhanced DIP for Single Core In DIP [9], when BIP policy is chosen, it inserts an incoming cache block at the MRU position with a fixed very low probability. DIP assumed a cyclic access pattern which would repeat many times, however, this is not always true in the LLC because of filtered temporal locality. BIP with a fixed probability cannot adapt for all applications’ behaviors. We refine the original BIP with changeable probability. Multiple BIP levels can fit for different access patterns.

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