Name
Abstract | ||
|---|---|---|
We introduce a new Manycore Workflow Runtime Environment (MWRE) to efficiently enact traditional scientific workflows on modern manycore computing architectures. In contrast to existing engines that enact workflows acting as external services, MWRE is compiler-based and translates workflows specified in the XML-based Interoperable Workflow Intermediate Representation (IWIR) into an equivalent C++-based program. This program efficiently enacts the workflow as a stand-alone executable by means of a new callback mechanism that resolves dependencies, transfers data, and handles composite activities. Experimental results on a number of real-world workflows demonstrate that MWRE clearly outperforms existing Java-based workflow engines designed for distributed (Grid/Cloud) computing infrastructures in terms of enactment time, is generally better than an existing script-based engine for manycore architectures (Swift), and sometimes gets even close to an artificial baseline implementation of the workflows in the standard OpenMP language for shared memory systems. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.future.2017.02.029 | Future Generation Comp. Syst. |
Keywords | Field | DocType |
Scientific workflows,Manycores,Workflow execution plan,Full-ahead scheduling | Workflow technology,Computer science,Windows Workflow Foundation,Callback,Workflow engine,Workflow management system,Workflow,Operating system,Database,Distributed computing,Cloud computing,Executable | Conference |
Volume | ISSN | Citations |
75 | 0167-739X | 6 |
PageRank | References | Authors |
0.44 | 23 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Janetschek | 1 | 28 | 1.89 |
| Radu Prodan | 2 | 2314 | 152.27 |
| shajulin benedict | 3 | 69 | 13.68 |