Power Saving Experiments for Large Scale Global Optimization
2009) Power Saving Experiments for Large Scale Global Optimization. Technical Report TR-09-14, Computer Science and Mathematics, Virginia Tech. (
Green computing, an emerging ﬁeld of research that seeks to reduce excess power consumption in high performance computing (HPC), is gaining popularity among researchers. Research in this ﬁeld often relies on simulation or only uses a small cluster, typically 8 or 16 nodes, because of the lack of hardware support. In contrast, System G at Virginia Tech is a 2592 processor supercomputer equipped with power aware components suitable for large scale green computing research. DIRECT is a deterministic global optimization algorithm, implemented in the mathematical software package VTDIRECT95. This paper explores the potential energy savings for the parallel implementation of DIRECT, called pVTdirect, when used with a large scale computational biology application, parameter estimation for a budding yeast cell cycle model, on System G. Two power aware approaches for pVTdirect are developed and compared against the CPUSPEED power saving system tool. The results show that knowledge of the parallel workload of the underlying application is beneficial for power management.
|Item Type:||Departmental Technical Report|
|Keywords:||large scale scientiﬁc application; green computing; VTDIRECT95; System G; budding yeast problem; DVFS|
|Subjects:||Computer Science > Software Engineering|
|Deposited By:||Administrator, Eprints|
|Deposited On:||26 October 2009|