Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
- Mateos Diaz, Cristian Maximiliano
- Zunino Suarez, Alejandro Octavio
- Hirsch Jofré, Matías Eberardo
- Fernández, Mariano
DOIAbstract
Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeasible not so long ago. On the downside, for users not proficient in distributed technologies, programming for Grids is difficult, tedious, time-consuming and error-prone. Then, disciplinary users typically waste precious time that could be instead invested into analyzing results. In a previous paper, we introduced BYG (Mateos et al., 2011) [28], a Java-based software that automatically parallelizes sequential applications by directly modifying their compiled codes. In addition, BYG is designed to harness Grid resources by reusing existing Grid platforms and schedulers. In its current shape, however, BYG lacks support for some state-of-the-art ...
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