Optimizing job performance under a given power constraint in HPC centers
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[1] Mitsuhisa Sato,et al. Profile-based optimization of power performance by using dynamic voltage scaling on a PC cluster , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.
[2] G. Sohi,et al. A static power model for architects , 2000, Proceedings 33rd Annual IEEE/ACM International Symposium on Microarchitecture. MICRO-33 2000.
[3] Dan Tsafrir,et al. The Dynamics of Backfilling: Solving the Mystery of Why Increased Inaccuracy May Help , 2006, 2006 IEEE International Symposium on Workload Characterization.
[4] Feng Pan,et al. Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications , 2007, IEEE Transactions on Parallel and Distributed Systems.
[5] Enrique V. Carrera,et al. Load balancing and unbalancing for power and performance in cluster-based systems , 2001 .
[6] Andrew B. White,et al. Trailblazing with Roadrunner , 2009, Computing in Science & Engineering.
[7] Luiz André Barroso,et al. The Case for Energy-Proportional Computing , 2007, Computer.
[8] Dror G. Feitelson,et al. Utilization, Predictability, Workloads, and User Runtime Estimates in Scheduling the IBM SP2 with Backfilling , 2001, IEEE Trans. Parallel Distributed Syst..
[9] Xiaorui Wang,et al. Cluster-level feedback power control for performance optimization , 2008, 2008 IEEE 14th International Symposium on High Performance Computer Architecture.
[10] David K. Lowenthal,et al. Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs , 2005 .
[11] Thomas F. Wenisch,et al. PowerNap: eliminating server idle power , 2009, ASPLOS.
[12] Partha Pratim Pande,et al. Power efficiency in high performance computing , 2012 .
[13] Xiaorui Wang,et al. Power capping: a prelude to power shifting , 2008, Cluster Computing.
[14] Julita Corbalán,et al. A Job Self-scheduling Policy for HPC Infrastructures , 2007, JSSPP.
[15] E. N. Elnozahy,et al. Energy-Efficient Server Clusters , 2002, PACS.
[16] Feng Pan,et al. Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.
[17] Giuseppe Serazzi,et al. Analysis of Non-Work-Conserving Processor Partitioning Policies , 1995, JSSPP.
[18] Hiroshi Nakashima,et al. Saving 200kW and $200 K/year by power-aware job/machine scheduling , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.
[19] Wu-chun Feng,et al. A Power-Aware Run-Time System for High-Performance Computing , 2005, ACM/IEEE SC 2005 Conference (SC'05).
[20] D.K. Lowenthal,et al. Adaptive, Transparent Frequency and Voltage Scaling of Communication Phases in MPI Programs , 2006, ACM/IEEE SC 2006 Conference (SC'06).
[21] Ulrich Kremer,et al. The design, implementation, and evaluation of a compiler algorithm for CPU energy reduction , 2003, PLDI '03.
[22] Wolf-Dietrich Weber,et al. Power provisioning for a warehouse-sized computer , 2007, ISCA '07.
[23] Evgenia Smirni,et al. Power-aware resource allocation in high-end systems via online simulation , 2005, ICS '05.
[24] Rajkumar Kettimuthu,et al. Selective preemption strategies for parallel job scheduling , 2002, Proceedings International Conference on Parallel Processing.
[25] David K. Lowenthal,et al. Using multiple energy gears in MPI programs on a power-scalable cluster , 2005, PPoPP.
[26] Karthick Rajamani,et al. A performance-conserving approach for reducing peak power consumption in server systems , 2005, ICS '05.
[27] Rajkumar Buyya,et al. Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters , 2007, Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07).
[28] Margaret Martonosi,et al. An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget , 2006, 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06).
[29] Martin Schulz,et al. Bounding energy consumption in large-scale MPI programs , 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).