High Performance Computing on Vector Systems 2010

Name: High Performance Computing on Vector Systems 2010
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642446535
Price: 51370 HUF
Availability: InStock

Szerző: Katharina Benkert, Wolfgang Bez, Martin Galle, Hiroaki Kobayashi, Michael M. Resch, Sabine Roller, Xin Wang

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten

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This book covers the results of the 11th and 12th Tera?op Workshop and continued a series initiated...

Információk a könyvről

Szerző

Katharina Benkert, Wolfgang Bez, Martin Galle, Hiroaki Kobayashi, Michael M. Resch, Sabine Roller, Xin Wang

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2014

oldal

198

EAN

9783642446535

ISBN

3642446531

Enbook ID

09198344

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

332

Méretek

155 x 11 x 12

Teljes leírás

This book covers the results of the 11th and 12th Tera?op Workshop and continued a series initiated by NEC and the HLRS in 2004. As part of the Tera?op Workbench, it has become a meeting platform for scientists, application developers, international experts and hardware designers to discuss the current state and future directions of supercomputing with the aim of achieving the highest sustained application perf- mance. The Tera?op Workbench Project is a collaboration between the High Perf- mance Computing Center Stuttgart (HLRS) and NEC Deutschland GmbH (NEC HPCE) to support users to achieve their research goals using High Performance Computing. The ?rst stage of the Tera?op Workbench project (2004 2008) c- centrated on user s applications and their optimization for the 72-node NEC SX-8 installation at HLRS. During this stage, numerous individual codes, developed and maintained by researchers or commercial organizations, have been analyzed and - timized. Several of the codes have shown the ability to outreach the TFlop/s thre- old of sustained performance. This created the possibility for new science and a deeper understanding of the underlying physics.

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High Performance Computing on Vector Systems 2010

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