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» New Challenges in Parallel Optimization
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SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
14 years 5 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
IPPS
2003
IEEE
14 years 1 months ago
A Performance Interface for Component-Based Applications
This work targets the emerging use of software component technology for high-performance scientific parallel and distributed computing. While component software engineering will ...
Sameer Shende, Allen D. Malony, Craig Edward Rasmu...
PLDI
2010
ACM
14 years 1 months ago
Supporting speculative parallelization in the presence of dynamic data structures
The availability of multicore processors has led to significant interest in compiler techniques for speculative parallelization of sequential programs. Isolation of speculative s...
Chen Tian, Min Feng, Rajiv Gupta
INFOCOM
2007
IEEE
14 years 2 months ago
On the Extreme Parallelism Inside Next-Generation Network Processors
Next-generation high-end Network Processors (NP) must address demands from both diversified applications and ever-increasing traffic pressure. One major challenge is to design an e...
Lei Shi, Yue Zhang 0006, Jianming Yu, Bo Xu, Bin L...
CCGRID
2010
IEEE
13 years 5 months ago
Low-Cost Tuning of Two-Step Algorithms for Scheduling Mixed-Parallel Applications onto Homogeneous Clusters
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Sascha Hunold