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» Computing stable models: worst-case performance estimates
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ARCS
2006
Springer
13 years 11 months ago
The Robustness of Resource Allocations in Parallel and Distributed Computing Systems
This corresponds to the material in the invited keynote presentation by H. J. Siegel, summarizing the research in [2, 23]. Resource allocation decisions in heterogeneous parallel a...
Vladimir Shestak, Howard Jay Siegel, Anthony A. Ma...
ACCV
2009
Springer
13 years 8 months ago
Adaptive-Scale Robust Estimator Using Distribution Model Fitting
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
HIPC
2009
Springer
13 years 5 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
HPDC
1996
IEEE
13 years 11 months ago
Modeling the Effects of Contention on the Performance of Heterogeneous Applications
Fast networks have made it possible to coordinate distributed heterogeneous CPU, memory, and storage resources to provide a powerful platform for executing high-performance applic...
Silvia M. Figueira, Francine Berman
WSC
1997
13 years 9 months ago
Computational Efficiency of Batching Methods
This paper discusses the efficiency of various batching methods for estimating performance parameters from steady-state simulation output, e.g., the steadystate mean. Our primary ...
David Goldsman, Bruce W. Schmeiser