Measuring power consumption on IBM Blue Gene/P

Energy efficiency is a key design principle of the IBM Blue Gene series of supercomputers, and Blue Gene systems have consistently gained top GFlops/Watt rankings on the Green500 list. The Blue Gene hardware and management software provide built-in features to monitor power consumption at all levels of the machine’s power distribution network. This paper presents the Blue Gene/P power measurement infrastructure and discusses the operational aspects of using this infrastructure on Petascale machines. We also describe the integration of Blue Gene power monitoring capabilities into system-level tools like LLview, and highlight some results of analyzing the production workload at Research Center Jülich (FZJ).

[1]  Ibm Redbooks.  IBM System Blue Gene Solution: Blue Gene/Q System Administration , 2012 .

[2]  Gerard V. Kopcsay,et al.  Packaging the Blue Gene/L supercomputer , 2005, IBM J. Res. Dev..

[3]  Constantine Bekas,et al.  A new energy aware performance metric , 2010, Computer Science - Research and Development.

[4]  José E. Moreira,et al.  Blue Gene/L programming and operating environment , 2005, IBM J. Res. Dev..

[5]  FengWu-chun,et al.  The Green500 List , 2007 .

[6]  Bishop Brock,et al.  Adaptive energy-management features of the IBM POWER7 chip , 2011, IBM J. Res. Dev..

[7]  John E. Barth,et al.  Embedded DRAM: Technology platform for the Blue Gene/L chip , 2005, IBM J. Res. Dev..

[8]  Claude Gomez,et al.  QPACE: power-efficient parallel architecture based on IBM PowerXCell 8i , 2010, Computer Science - Research and Development.

[9]  Bishop Brock,et al.  Architecting for power management: The IBM® POWER7™ approach , 2010, HPCA - 16 2010 The Sixteenth International Symposium on High-Performance Computer Architecture.

[10]  George L.-T. Chiu,et al.  Overview of the Blue Gene/L system architecture , 2005, IBM J. Res. Dev..

[11]  G.V. Kopcsay,et al.  Creating the BlueGene/L supercomputer from low-power SoC ASICs , 2005, ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005..

[12]  Wolfgang E. Nagel,et al.  Introducing the Open Trace Format (OTF) , 2006, International Conference on Computational Science.

[13]  Ibm Blue,et al.  Overview of the IBM Blue Gene/P Project , 2008, IBM J. Res. Dev..

[14]  Stephen Gilmore,et al.  Combining Measurement and Stochastic Modelling to Enhance Scheduling Decisions for a Parallel Mean Value Analysis Algorithm , 2006, International Conference on Computational Science.

[15]  Luigi Brochard,et al.  Optimizing performance and energy of HPC applications on POWER7 , 2010, Computer Science - Research and Development.

[16]  Wolfgang E. Nagel,et al.  VAMPIR: Visualization and Analysis of MPI Resources , 2010 .

[17]  Philip Heidelberger,et al.  The Blue Gene/L Supercomputer: A Hardware and Software Story , 2007, International Journal of Parallel Programming.