By Wolfgang Gentzsch (auth.), Ponnuswamy Sadayappan, Manish Parashar, Ramamurthy Badrinath, Viktor K. Prasanna (eds.)
This booklet constitutes the refereed lawsuits of the fifteenth overseas convention on High-Performance Computing, HiPC 2008, held in Bangalore, India, in December 2008.
The forty six revised complete papers offered including the abstracts of five keynote talks have been conscientiously reviewed and chosen from 317 submissions. The papers are equipped in topical sections on purposes functionality optimizazion, parallel algorithms and purposes, scheduling and source administration, sensor networks, energy-aware computing, dispensed algorithms, verbal exchange networks in addition to architecture.
Read or Download High Performance Computing - HiPC 2008: 15th International Conference, Bangalore, India, December 17-20, 2008. Proceedings PDF
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Additional resources for High Performance Computing - HiPC 2008: 15th International Conference, Bangalore, India, December 17-20, 2008. Proceedings
Normalized misses for a 4-way associative digest cache For the traces listed in Table 2. Fig. 5 shows the percentage of misses with SP and PRED replacement policies. The misses are normalized wrt. misses incurred with LRU replacement for 4-way set associative caches. The SP policy performs better than the LRU cache replacement policy in terms of miss rates for all 4way set associative caches. As expected, the PRED cache management policy has lower miss rate than the other two policies. Table 3 shows the miss rates for LRU and SP policies for 4-way and 8-way associative caches.
Saxena et al. For level 1 and level 2 routines, performance is reported using 4 SPEs. This is because, typically 4 SPEs are enough to exhaust the memory bandwidth and we do not observe signiﬁcant performance improvement using more SPEs. e. when matrix starting addresses are 128-byte aligned and dimensions are multiples of 64). 4 GFLOPS). Figure 1(g) compares the performance of DGEMM and DTRSM routines for ideal and non-ideal cases. For the non-ideal cases, the leading dimension is made not to be a multiple of 128 bytes.
On Parallel Arch and Compilation Techniques, p. 206. IEEE Computer Society, Los Alamitos (2003) Improving Performance of Digest Caches in Network Processors 17 2. : Survey and taxonomy of packet classiﬁcation techniques. ACM Comput. Surv. 37(3), 238–275 (2005) 3. : Algorithms for packet classiﬁcation. IEEE Network 12(2), 24–32 (2001) 4. : Overcoming the memory wall in packet processing: hammers or ladders? In: ANCS 2005: Proc. of the 2005 symp. on Architectures for networking and comm. , pp. 1–10.
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