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GRID
2006
Springer
14 years 9 months ago
Overhead Analysis of Grid Workflow Applications
In this paper we propose a systematic approach to performance analysis of workflow applications on the Grid. We introduce an ideal model for the workflow execution time and explain...
Francesco Nerieri, Radu Prodan, Thomas Fahringer, ...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 10 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...
CLUSTER
2007
IEEE
15 years 1 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
86
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ICPP
2007
IEEE
15 years 4 months ago
Parallel Algorithms for Bayesian Indoor Positioning Systems
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Konstantinos Kleisouris, Richard P. Martin
IEEEPACT
2002
IEEE
15 years 2 months ago
Optimizing Loop Performance for Clustered VLIW Architectures
Modern embedded systems often require high degrees of instruction-level parallelism (ILP) within strict constraints on power consumption and chip cost. Unfortunately, a high-perfo...
Yi Qian, Steve Carr, Philip H. Sweany