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JSSPP
2009
Springer
16 years 17 days ago
Competitive Two-Level Adaptive Scheduling Using Resource Augmentation
Abstract. As multi-core processors proliferate, it has become more important than ever to ensure efficient execution of parallel jobs on multiprocessor systems. In this paper, we s...
Hongyang Sun, Yangjie Cao, Wen-Jing Hsu
PVLDB
2008
126views more  PVLDB 2008»
15 years 5 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...
HIPC
2000
Springer
15 years 9 months ago
Characterization and enhancement of Static Mapping Heuristics for Heterogeneous Systems
Heterogeneous computing environments have become attractive platforms to schedule computationally intensive jobs. We consider the problem of mapping independent tasks onto machines...
Praveen Holenarsipur, Vladimir Yarmolenko, Jos&eac...
HPDC
2012
IEEE
13 years 8 months ago
Understanding the effects and implications of compute node related failures in hadoop
Hadoop has become a critical component in today’s cloud environment. Ensuring good performance for Hadoop is paramount for the wide-range of applications built on top of it. In ...
Florin Dinu, T. S. Eugene Ng
SAC
2011
ACM
14 years 8 months ago
Parallel multivariate slice sampling
Slice sampling provides an easily implemented method for constructing a Markov chain Monte Carlo (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it requires...
Matthew M. Tibbits, Murali Haran, John C. Liechty