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CCGRID
2010
IEEE
13 years 5 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
CORR
2006
Springer
90views Education» more  CORR 2006»
13 years 8 months ago
Path-independent load balancing with unreliable machines
We consider algorithms for load balancing on unreliable machines. The objective is to optimize the two criteria of minimizing the makespan and minimizing job reassignments in resp...
James Aspnes, Yang Richard Yang, Yitong Yin
3DIM
2001
IEEE
13 years 11 months ago
The Parallel Iterative Closest Point Algorithm
This paper describes a parallel implementation developed to improve the time performance of the Iterative Closest Point Algorithm. Within each iteration, the correspondence calcul...
Christian Langis, Michael A. Greenspan, Guy Godin
TPDS
1998
107views more  TPDS 1998»
13 years 7 months ago
A Practical Approach to Dynamic Load Balancing
—This paper presents a cohesive, practical load balancing framework that improves upon existing strategies. These techniques are portable to a broad range of prevalent architectu...
Jerrell Watts, Stephen Taylor
CIKM
2011
Springer
12 years 7 months ago
Block-based load balancing for entity resolution with MapReduce
The effectiveness and scalability of MapReduce-based implementations of complex data-intensive tasks depend on an even redistribution of data between map and reduce tasks. In the...
Lars Kolb, Andreas Thor, Erhard Rahm