Application Skeleton v1.1
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| Titel: | Application Skeleton v1.1 |
|---|---|
| Autoren: | Zhang, Zhao, Katz, Daniel S. |
| Verlagsinformationen: | Zenodo |
| Publikationsjahr: | 2014 |
| Bestand: | Zenodo |
| Schlagwörter: | computer science, application skeleton, co-design, distributed computing, many-task computing, parallel computing |
| Beschreibung: | 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. |
| Publikationsart: | software |
| Sprache: | unknown |
| Relation: | https://github.com/applicationskeleton/Skeleton/tree/1.1; https://zenodo.org/records/11096; oai:zenodo.org:11096; https://doi.org/10.5281/zenodo.11096 |
| DOI: | 10.5281/zenodo.11096 |
| Verfügbarkeit: | https://doi.org/10.5281/zenodo.11096 https://zenodo.org/records/11096 |
| Rights: | MIT License ; mit ; https://opensource.org/licenses/MIT |
| Dokumentencode: | edsbas.979AC21B |
| Datenbank: | BASE |
| 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. |
|---|---|
| DOI: | 10.5281/zenodo.11096 |
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