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» Optimizing for parallelism and data locality
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CLOUD
2010
ACM
15 years 11 months ago
Towards automatic optimization of MapReduce programs
Timely and cost-effective processing of large datasets has become a critical ingredient for the success of many academic, government, and industrial organizations. The combination...
Shivnath Babu
ICDCS
2002
IEEE
15 years 11 months ago
An Optimal Strategy for Anonymous Communication Protocols
For many Internet applications, the ability to protect the identity of participants in a distributed applications is critical. For such applications, a number of anonymous communi...
Yong Guan, Xinwen Fu, Riccardo Bettati, Wei Zhao
IISWC
2009
IEEE
16 years 22 days ago
Phoenix rebirth: Scalable MapReduce on a large-scale shared-memory system
Abstract—Dynamic runtimes can simplify parallel programming by automatically managing concurrency and locality without further burdening the programmer. Nevertheless, implementin...
Richard M. Yoo, Anthony Romano, Christos Kozyrakis
136
Voted
PPSN
1998
Springer
15 years 10 months ago
Restart Scheduling for Genetic Algorithms
Abstract. In order to escape from local optima, it is standard practice to periodically restart a genetic algorithm according to some restart criteria/policy. This paper addresses ...
Alex S. Fukunaga
160
Voted
PPSN
2010
Springer
15 years 4 months ago
Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation
Abstract. Evolutionary algorithms have been shown to be very successful for a wide range of NP-hard combinatorial optimization problems. We investigate the NP-hard problem of compu...
Stefan Kratsch, Per Kristian Lehre, Frank Neumann,...