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HPDC
2010
IEEE
15 years 5 months ago
Performance analysis of dynamic workflow scheduling in multicluster grids
Scientists increasingly rely on the execution of workflows in grids to obtain results from complex mixtures of applications. However, the inherently dynamic nature of grid workflo...
Omer Ozan Sonmez, Nezih Yigitbasi, Saeid Abrishami...
ISCA
2011
IEEE
486views Hardware» more  ISCA 2011»
14 years 8 months ago
Dark silicon and the end of multicore scaling
Since 2005, processor designers have increased core counts to exploit Moore’s Law scaling, rather than focusing on single-core performance. The failure of Dennard scaling, to wh...
Hadi Esmaeilzadeh, Emily R. Blem, Renée St....
CCGRID
2008
IEEE
15 years 6 months ago
Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing
In this article, we revisit the problem of scheduling dynamically generated directed acyclic graphs (DAGs) of multi-processor tasks (M-tasks). A DAG is a basic model for expressin...
Sascha Hunold, Thomas Rauber, Frédér...
ISNN
2005
Springer
15 years 10 months ago
A SIMD Neural Network Processor for Image Processing
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...
AAAI
2008
15 years 6 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams