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ICPP
2009
IEEE
14 years 2 months ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...
SC
2009
ACM
14 years 2 months ago
Scalable work stealing
Irregular and dynamic parallel applications pose significant challenges to achieving scalable performance on large-scale multicore clusters. These applications often require ongo...
James Dinan, D. Brian Larkins, P. Sadayappan, Srir...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 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...
VLSID
2004
IEEE
107views VLSI» more  VLSID 2004»
14 years 8 months ago
Performance Analysis of Inter Cluster Communication Methods in VLIW Architecture
With increasing demands for high performance by embedded systems, especially by digital signal processing applications, embedded processors must increase available instruction lev...
Sourabh Saluja, Anshul Kumar
IPPS
2007
IEEE
14 years 1 months ago
Bi-criteria Scheduling Algorithm with Deployment in Cluster
Computational grids clusters, provide powerful computing resources for executing applications of large scale. In Grid (clusters) usually several applications run simultaneously.Th...
Feryal-Kamila Moulaï, Gregory Mounie