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Application Skeleton v1.1

Authors: Zhang, Zhao; Katz, Daniel S.;
Abstract

This is the first public release for Application Skeletons - a tool to generate skeleton applications that mimic a real applications' parallel or distributed performance at a task (but not process) level. It can create bag-of-task, (iterative) map-reduce, and (iterative) multistage workflow applications This tools/concept allows computer scientists to focus on the system they are building; they can work with the simpler skeleton applications and be sure that their work will also be applicable to the real applications. A paper about the initial version of Application Skeletons is: Z. Zhang and D. S. Katz, "Application Skeletons: Encapsulating MTC Application Task Computation and I/O," Proceedings of 6th Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS), (in conjunction with SC13), 2013.http://dx.doi.org/10.1145/2503210.2503222 A paper about the current version is in press as: Z. Zhang, D. S. Katz, "Using Application Skeletons to Improve eScience Infrastructure," Proceedings of 10th IEEE International Conference on eScience, 2014.

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Keywords

distributed computing, parallel computing, computer science, co-design, application skeleton, many-task computing

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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