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» Hardening Functions for Large Scale Distributed Computations
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SIGSOFT
2007
ACM
16 years 5 months ago
Measuring empirical computational complexity
The standard language for describing the asymptotic behavior of algorithms is theoretical computational complexity. We propose a method for describing the asymptotic behavior of p...
Simon Goldsmith, Alex Aiken, Daniel Shawcross Wilk...
256
Voted
FAST
2011
14 years 8 months ago
FastScale: Accelerate RAID Scaling by Minimizing Data Migration
Previous approaches to RAID scaling either require a very large amount of data to be migrated, or cannot tolerate multiple disk additions without resulting in disk imbalance. In t...
Weimin Zheng, Guangyan Zhang
IPPS
2005
IEEE
15 years 10 months ago
MOCCA - Towards a Distributed CCA Framework for Metacomputing
— We describe the design and implementation of MOCCA, a distributed CCA framework implemented using the H2O metacomputing system. Motivated by the quest for appropriate metasyste...
Maciej Malawski, Dawid Kurzyniec, Vaidy S. Sundera...
SC
2005
ACM
15 years 10 months ago
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadthï¬...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
126
Voted
IPPS
2007
IEEE
15 years 11 months ago
Scalable Distributed Execution Environment for Large Data Visualization
To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential...
Micah Beck, Huadong Liu, Jian Huang, Terry Moore