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» Distributed Data Structure Design for Scientific Computation
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CCGRID
2010
IEEE
14 years 11 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
106
Voted
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 6 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...
100
Voted
ESCIENCE
2006
IEEE
15 years 4 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
99
Voted
AC
2008
Springer
15 years 23 days 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 5 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...