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» The Design and Analysis of Parallel Algorithms
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139
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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 4 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
146
Voted
JAVA
2001
Springer
15 years 8 months ago
A scalable, robust network for parallel computing
CX, a network-based computational exchange, is presented. The system’s design integrates variations of ideas from other researchers, such as work stealing, non-blocking tasks, e...
Peter R. Cappello, Dimitros Mourloukos
133
Voted
IEEEPACT
2002
IEEE
15 years 8 months ago
Workload Design: Selecting Representative Program-Input Pairs
Having a representative workload of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) whic...
Lieven Eeckhout, Hans Vandierendonck, Koenraad De ...
154
Voted
PCRCW
1997
Springer
15 years 7 months ago
ChaosLAN: Design and Implementation of a Gigabit LAN Using Chaotic Routing
In recent years, theChaos Project at theUniversityofWashingtonhas analyzed and simulated a dozen routing algorithms. Three new routing algorithms have been invented; of these, the...
Neil R. McKenzie, Kevin Bolding, Carl Ebeling, Law...
130
Voted
WINE
2009
Springer
178views Economy» more  WINE 2009»
15 years 10 months ago
Computing Optimal Contracts in Series-Parallel Heterogeneous Combinatorial Agencies
We study an economic setting in which a principal motivates a team of strategic agents to exert costly effort toward the success of a joint project. The action taken by each agent...
Yuval Emek, Michal Feldman