High Performance Computing - HiPC 2006: 13th International by Pierre Fraigniaud (auth.), Yves Robert, Manish Parashar,

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By Pierre Fraigniaud (auth.), Yves Robert, Manish Parashar, Ramamurthy Badrinath, Viktor K. Prasanna (eds.)

This ebook constitutes the refereed court cases of the thirteenth foreign convention on High-Performance Computing, HiPC 2006, held in Bangalore, India in December 2006.

The fifty two revised complete papers offered including the abstracts of seven invited talks have been conscientiously reviewed and chosen from 335 submissions. The papers are prepared in topical sections on scheduling and cargo balancing, architectures, community and allotted algorithms, program software program, community companies, functions, ad-hoc networks, platforms software program, sensor networks and function evaluate, in addition to routing and information administration algorithms.

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Extra info for High Performance Computing - HiPC 2006: 13th International Conference, Bangalore, India, December 18-21, 2006. Proceedings

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Even though the simulated cache is 16-way, all hits are to the MRU block, and hence the other 15 blocks per set are not needed. However, in a sharing situation, all the cache misses will evict cache blocks for other processors. Putting a constraint on the number of cache blocks per This work is partly sponsored by the HiPEAC Network of Excellence funded by EU under FP6. Y. Robert et al. ): HiPC 2006, LNCS 4297, pp. 22–34, 2006. c Springer-Verlag Berlin Heidelberg 2006 A Cache-Partitioning Aware Replacement Policy for Chip Multiprocessors 23 processor for each set may prevent this from happening.

This is attributed to the fact that the simple 2-way mergesort naturally uses the sequential prefetching present in disks due to readahead caches. This may be an explanation as to why the naturally prefetch-efficient standard 2-way mergesort performs better than the more sophisticated prefetch-unaware M/B-way mergesort on many real systems. Algorithmic Ramifications of Prefetching in Memory Hierarchy 21 References 1. A. Aggarwal, B. Alpern, A. Chandra, and M. Snir. A model for hierarchical memory.

Description Max. no. of blocks in set Processor 1 Processor 2 Processor 3 Processor 4 2 3 2 3 (d) The partitioning parameters (one per processor) used by the replacement policy. Fig. 2. The extra storage requirements for the new scheme A constraint is associated with each processor that limits the maximum number of blocks that can be in each set, see Figure 2(d). These values are used by the replacement algorithm to select a cache line for eviction. 2 The Partitioning Aware Replacement Policy Algorithm 1 describes the new replacement policy for sharing cache space with the constraints from Figure 2(d).

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