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» Using Execution Trace Data to Improve Distributed Systems
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IPPS
2010
IEEE
15 years 1 months ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
GRID
2007
Springer
15 years 9 months ago
Multi-state grid resource availability characterization
—The functional heterogeneity of non-dedicated computational grids will increase with the inclusion of resources from desktop grids, P2P systems, and even mobile grids. Machine f...
Brent Rood, Michael J. Lewis
PADS
2006
ACM
15 years 9 months ago
Aurora: An Approach to High Throughput Parallel Simulation
A master/worker paradigm for executing large-scale parallel discrete event simulation programs over networkenabled computational resources is proposed and evaluated. In contrast t...
Alfred Park, Richard M. Fujimoto
INFOVIS
1999
IEEE
15 years 7 months ago
Visualizing Application Behavior on Superscalar Processors
The advent of superscalar processors with out-of-order execution makes it increasingly difficult to determine how well an application is utilizing the processor and how to adapt t...
Chris Stolte, Robert Bosch, Pat Hanrahan, Mendel R...
DEBS
2009
ACM
15 years 9 months ago
Distributed complex event processing with query rewriting
The nature of data in enterprises and on the Internet is changing. Data used to be stored in a database first and queried later. Today timely processing of new data, represented ...
Nicholas Poul Schultz-Møller, Matteo Miglia...