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» BlueGene L applications: Parallelism On a Massive Scale
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HPDC
2006
IEEE
14 years 1 months ago
Troubleshooting Distributed Systems via Data Mining
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
David A. Cieslak, Douglas Thain, Nitesh V. Chawla
IPPS
2008
IEEE
14 years 2 months ago
Massive supercomputing coping with heterogeneity of modern accelerators
Heterogeneous supercomputers with combined general purpose and accelerated CPUs promise to be the future major architecture due to their wideranging generality and superior perfor...
Toshio Endo, Satoshi Matsuoka
CLUSTER
2006
IEEE
13 years 11 months ago
Lightweight I/O for Scientific Applications
Today's high-end massively parallel processing (MPP) machines have thousands to tens of thousands of processors, with next-generation systems planned to have in excess of one...
Ron Oldfield, Lee Ward, Rolf Riesen, Arthur B. Mac...
HPDC
2010
IEEE
13 years 8 months ago
Massive Semantic Web data compression with MapReduce
The Semantic Web consists of many billions of statements made of terms that are either URIs or literals. Since these terms usually consist of long sequences of characters, an effe...
Jacopo Urbani, Jason Maassen, Henri E. Bal
ICDCS
2011
IEEE
12 years 7 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...