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    Chapter and Conference Paper

    On the Energy Proportionality of Distributed NoSQL Data Stores

    The computing community is facing several big data challenges due to the unprecedented growth in the volume and variety of data. Many large-scale Internet companies use distributed NoSQL data stores to mitigate t...

    Balaji Subramaniam, Wu-chun Feng in High Performance Computing Systems. Perfor… (2015)

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    Chapter and Conference Paper

    CoreTSAR: Adaptive Worksharing for Heterogeneous Systems

    The popularity of heterogeneous computing continues to increase rapidly due to the high peak performance, favorable energy efficiency, and comparatively low cost of accelerators. However, heterogeneous program...

    Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree in Supercomputing (2014)

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    Chapter and Conference Paper

    Making a Case for Proactive Flow Control in Optical Circuit-Switched Networks

    Optical circuit-switched networks such as National LambdaRail (NLR) offer dedicated bandwidth to support large-scale bulk data transfer. Though a dedicated circuit-switched network eliminates congestion from t...

    Mithilesh Kumar, Vineeta Chaube, Pavan Balaji in High Performance Computing - HiPC 2008 (2008)

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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)

  5. Chapter and Conference Paper

    Dynamic Right-Sizing: An Automated, Lightweight, and Scalable Technique for Enhancing Grid Performance

    With the advent of computational grids, networking performance over the wide-area network (WAN) has become a critical component in the grid infrastructure. Unfortunately, many high-performance grid application...

    Wu-chun Feng, Mike Fisk, Mark Gardner, Eric Weigle in Protocols for High Speed Networks (2002)

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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)