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126,278
Modeling Large-Scale Platforms for the Analysis and the Simulation of Scheduling Strategies
, 2004
"... An important trend in scientific computing is the establishment of computing platforms that span multiple institutions to support applications at unprecedented scales and levels of performance. A key issue for achieving high performance is the scheduling of application components onto available reso ..."
Abstract
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Cited by 8 (3 self)
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resources, which has been an active area of research for several decades. However, most of the platform models traditionally used in scheduling research, and in particular the network models, break down for platforms spanning multiple (wide-area) networks. In this paper we examine modeling issues for large-scale
A realistic network/application model for scheduling divisible loads on large-scale platforms
, 2004
"... ..."
The Large-Scale Organization of Metabolic Networks
, 2000
"... In a cell or microorganism the processes that generate mass, energy, information transfer, and cell fate specification are seamlessly integrated through a complex network of various cellular constituents and reactions. However, despite the key role these networks play in sustaining various cellular ..."
Abstract
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Cited by 609 (7 self)
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functions, their large-scale structure is essentially unknown. Here we present the first systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life. We show that, despite significant variances in their individual constituents and pathways
Making Large-Scale SVM Learning Practical
, 1998
"... Training a support vector machine (SVM) leads to a quadratic optimization problem with bound constraints and one linear equality constraint. Despite the fact that this type of problem is well understood, there are many issues to be considered in designing an SVM learner. In particular, for large lea ..."
Abstract
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Cited by 1861 (17 self)
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and computational results developed for SV M light V2.0, which make large-scale SVM training more practical. The results give guidelines for the application of SVMs to large domains.
Automatically characterizing large scale program behavior
, 2002
"... Understanding program behavior is at the foundation of computer architecture and program optimization. Many pro-grams have wildly different behavior on even the very largest of scales (over the complete execution of the program). This realization has ramifications for many architectural and com-pile ..."
Abstract
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Cited by 778 (41 self)
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of execution. Our goal is to develop automatic techniques that are ca-pable of finding and exploiting the Large Scale Behavior of programs (behavior seen over billions of instructions). The first step towards this goal is the development of a hardware independent metric that can concisely summarize the behav
Imagenet: A large-scale hierarchical image database
- In CVPR
, 2009
"... The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such data can be harnessed and organized remains a critical problem. We introduce her ..."
Abstract
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Cited by 840 (28 self)
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datasets. Constructing such a large-scale database is a challenging task. We describe the data collection scheme with Amazon Mechanical Turk. Lastly, we illustrate the usefulness of ImageNet through three simple applications in object recognition, image classification and automatic object clustering. We
Results 1 - 10
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126,278
