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147
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HPDC
2008
IEEE
15 years 3 months ago
Code coverage, performance approximation and automatic recognition of idioms in scientific applications
Basic data flow patterns which we call idioms, such as stream, transpose, reduction, random access and stencil, are common in scientific numerical applications. We hypothesize tha...
Jiahua He, Allan Snavely, Rob F. Van der Wijngaart...
118
Voted
ISHPC
2003
Springer
15 years 8 months ago
Online Remote Trace Analysis of Parallel Applications on High-Performance Clusters
The paper presents the design and development of an online remote trace measurement and analysis system. The work combines the strengths of the TAU performance system with that of ...
Holger Brunst, Allen D. Malony, Sameer Shende, Rob...
128
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CLUSTER
2006
IEEE
15 years 7 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...
147
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HIPC
2000
Springer
15 years 7 months ago
Meta-data Management System for High-Performance Large-Scale Scientific Data Access
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
Wei-keng Liao, Xiaohui Shen, Alok N. Choudhary
173
Voted
CLUSTER
2000
IEEE
15 years 3 months ago
Data management for large-scale scientific computations in high performance distributed systems
With the increasing number of scientific applications manipulating huge amounts of data, effective high-level data management is an increasingly important problem. Unfortunately, ...
Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No,...