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» The potential of the cell processor for scientific computing
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BMCBI
2010
122views more  BMCBI 2010»
13 years 5 months ago
An overview of the CellML API and its implementation
Background: CellML is an XML based language for representing mathematical models, in a machine-independent form which is suitable for their exchange between different authors, and...
Andrew K. Miller, Justin Marsh, Adam Reeve, Alan G...
IPPS
2009
IEEE
13 years 12 months ago
High-order stencil computations on multicore clusters
Stencil computation (SC) is of critical importance for broad scientific and engineering applications. However, it is a challenge to optimize complex, highorder SC on emerging clus...
Liu Peng, Richard Seymour, Ken-ichi Nomura, Rajiv ...
IPPS
2009
IEEE
13 years 12 months ago
Application profiling on Cell-based clusters
In this paper, we present a methodology for profiling parallel applications executing on the IBM PowerXCell 8i (commonly referred to as the “Cell” processor). Specifically, we...
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson...
CF
2007
ACM
13 years 9 months ago
Reconfigurable hybrid interconnection for static and dynamic scientific applications
As we enter the era of petascale computing, system architects must plan for machines composed of tens or even hundreds of thousands of processors. Although fully connected network...
Shoaib Kamil, Ali Pinar, Daniel Gunter, Michael Li...
HPCC
2007
Springer
13 years 9 months ago
An Exploration of Performance Attributes for Symbolic Modeling of Emerging Processing Devices
Vector, emerging (homogenous and heterogeneous) multi-core and a number of accelerator processing devices potentially offer an order of magnitude speedup for scientific application...
Sadaf R. Alam, Nikhil Bhatia, Jeffrey S. Vetter