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» Distributed Data Structure Design for Scientific Computation
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CCGRID
2010
IEEE
15 years 1 months ago
An Adaptive Data Prefetcher for High-Performance Processors
—While computing speed continues increasing rapidly, data-access technology is lagging behind. Data-access delay, not the processor speed, becomes the leading performance bottlen...
Yong Chen, Huaiyu Zhu, Xian-He Sun
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 8 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
122
Voted
ESCIENCE
2006
IEEE
15 years 6 months ago
Designing Workflow Components for e-Science
In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We s...
Frank Terpstra, Pieter W. Adriaans
122
Voted
AC
2008
Springer
15 years 3 months ago
Distributed Sparse Matrices for Very High Level Languages
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
John R. Gilbert, Steve Reinhardt, Viral Shah
HPCA
1999
IEEE
15 years 7 months ago
Impulse: Building a Smarter Memory Controller
Impulse is a new memory system architecture that adds two important features to a traditional memory controller. First, Impulse supports application-specific optimizations through...
John B. Carter, Wilson C. Hsieh, Leigh Stoller, Ma...