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Titlebook: High Performance Computing - HiPC 2008; 15th International C Ponnuswamy Sadayappan,Manish Parashar,Viktor K. Pr Conference proceedings 2008

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樓主: ALOOF
51#
發(fā)表于 2025-3-30 10:41:46 | 只看該作者
The Excitement in Parallel Computingamming. Machines with hundreds of TeraFLOP/S exist now, with at least one having crossed the 1 PetaFLOP/s rubicon. Many machines have over 100,000 processors. The largest planned machine by NSF will be at University of Illinois at Urbana-Champaign by early 2011. At the same time, there are already h
52#
發(fā)表于 2025-3-30 14:43:22 | 只看該作者
Improving Performance of Digest Caches in Network Processorsnce of a large number of small flows and a few large flows in the Internet has an adverse impact on the performance of these digest caches. In the Internet, a few large flows transfer a majority of the packets whereas the contribution of several small flows to the total number of packets transferred
53#
發(fā)表于 2025-3-30 17:38:32 | 只看該作者
Optimization of BLAS on the Cell Processoras high memory bandwidth using DMA, user managed local stores and SIMD architecture. In this paper, we present strategies for leveraging these features to develop a high performance BLAS library. We propose techniques to partition and distribute data across SPEs for handling DMA efficiently. We show
54#
發(fā)表于 2025-3-30 22:18:25 | 只看該作者
Fine Tuning Matrix Multiplications on Multicoree best performance out of them is quite high. Indeed, performance libraries such as Intel’s MKL, while performing very well on unicore architectures, see their behaviour degrade when used on multicore systems. Moreover, even multicore systems show wide differences among each other (presence of share
55#
發(fā)表于 2025-3-31 02:23:39 | 只看該作者
56#
發(fā)表于 2025-3-31 07:23:59 | 只看該作者
57#
發(fā)表于 2025-3-31 12:54:59 | 只看該作者
58#
發(fā)表于 2025-3-31 14:12:18 | 只看該作者
59#
發(fā)表于 2025-3-31 19:11:26 | 只看該作者
60#
發(fā)表于 2025-4-1 01:15:24 | 只看該作者
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