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ICS
2005
Tsinghua U.
15 years 3 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
RSA
1998
93views more  RSA 1998»
14 years 9 months ago
Parallel randomized load balancing
It is well known that after placing n balls independently and uniformly at random into n bins, the fullest bin holds (logn=log logn) balls with high probability. Recently, Azar et...
Micah Adler, Soumen Chakrabarti, Michael Mitzenmac...
CHI
2010
ACM
15 years 3 months ago
Exploring iterative and parallel human computation processes
Services like Amazon’s Mechanical Turk have opened the door for exploration of processes that outsource computation to humans. These human computation processes hold tremendous ...
Greg Little
BMCBI
2004
156views more  BMCBI 2004»
14 years 9 months ago
DIALIGN P: Fast pair-wise and multiple sequence alignment using parallel processors
Background: Parallel computing is frequently used to speed up computationally expensive tasks in Bioinformatics. Results: Herein, a parallel version of the multi-alignment program...
Martin Schmollinger, Kay Nieselt, Michael Kaufmann...
BMCBI
2006
158views more  BMCBI 2006»
14 years 10 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...