Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
In this paper, we describe an efficient and scalable implementation of the NAS Parallel Benchmark BT suitable for distributed memory systems such as the IBM Scalable POWERparallel Systems. After describing the parallelization and data partitioning methods used, we outline some of the optimization steps used to realize good performance on individual processors and to reduce the communication overheads on the IBM SP1TM and SP2TM systems. We present performance results on up to 128 nodes of the SP1, and on the SP2 with wide nodes. We describe the performance on the standard Class A and Class B problem sets. To show the scalability of our parallelization methods, we present the performance of two additional data sets.
Hendrik F. Hamann
InterPACK 2013
Khalid Abdulla, Andrew Wirth, et al.
ICIAfS 2014
Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
Charles H. Bennett, Aram W. Harrow, et al.
IEEE Trans. Inf. Theory