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    Article

    GBench: benchmarking methodology for evaluating the energy efficiency of supercomputers

    Recent studies point to power consumption becoming the major design constraint in exascale computing systems. Current scientific benchmarks, such as LINPACK, only evaluate high-performance computing (HPC) syst...

    Balaji Subramaniam, Wu-chun Feng in Computer Science - Research and Development (2013)

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    Article

    Performance characterization of data-intensive kernels on AMD Fusion architectures

    The cost of data movement over the PCI Express bus is one of the biggest performance bottlenecks for accelerating data-intensive applications on traditional discrete GPU architectures. To address this bottlene...

    Kenneth Lee, Heshan Lin, Wu-chun Feng in Computer Science - Research and Development (2013)

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    Article

    The Green500 list: escapades to exascale

    Energy efficiency is now a top priority. The first four years of the Green500 have seen the importance of energy efficiency in supercomputing grow from an afterthought to the forefront of innovation as we appr...

    Tom Scogland, Balaji Subramaniam in Computer Science - Research and Development (2013)

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    Chapter and Conference Paper

    Effective Dynamic Voltage Scaling Through CPU-Boundedness Detection

    Dynamic voltage scaling (DVS) allows a program to execute at a non-peak CPU frequency in order to reduce CPU power, and hence, energy consumption; however, it is oftentimes done at the expense of performance d...

    Chung-Hsing Hsu, Wu-Chun Feng in Power-Aware Computer Systems (2005)

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    Chapter and Conference Paper

    Time-Sharing Parallel Jobs in the Presence of Multiple Resource Requirements

    Buffered coscheduling is a new methodology that can substantially increase resource utilization, improve response time, and simplify the development of the run-time support in a parallel machine. In this paper...

    Fabrizio Petrini, Wu-chun Feng in Job Scheduling Strategies for Parallel Processing (2000)