Titlebook: High Performance Computing - HiPC 2007; 14th International C Srinivas Aluru,Manish Parashar,Viktor K. Prasanna Conference proceedings 2007

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书目名称High Performance Computing - HiPC 2007影响因子(影响力)




书目名称High Performance Computing - HiPC 2007影响因子(影响力)学科排名




书目名称High Performance Computing - HiPC 2007网络公开度




书目名称High Performance Computing - HiPC 2007网络公开度学科排名




书目名称High Performance Computing - HiPC 2007被引频次




书目名称High Performance Computing - HiPC 2007被引频次学科排名




书目名称High Performance Computing - HiPC 2007年度引用




书目名称High Performance Computing - HiPC 2007年度引用学科排名




书目名称High Performance Computing - HiPC 2007读者反馈




书目名称High Performance Computing - HiPC 2007读者反馈学科排名

MAPLE

面包屑

Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solvert method to solve large-scale problems efficiently. Experiments on large real-life problems also show that the volume of . obtained when minimizing the storage requirement can be significantly reduced by applying algorithms designed to reduce the . volume.

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A Speed-Area Optimization of Full Search Block Matching Hardware with Applications in High-Definitioed approaches has also been outlined. The highlight of the proposed architecture is its split pipelined design to facilitate parallel processing of macroblocks (MBs) in the initial stages. The proposed hardware has high throughput, low silicon area and compares favorably with other existing FPGA architectures.

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High Performance Data Mining - Application for Discovery of Patterns in the Global Climate Systemnsists of methods that discover interesting, non-trivial, and useful patterns hidden in the data. This talk will provide an overview of a number of data mining research in our group for understanding patterns in global climate system and computational challenges in addressing them.

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