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From GPGPU to Many-Core: Nvidia Fermi and Intel Many Integrated Core Architecture

Published: 01 March 2012 Publication History
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  • Abstract

    Comparing the architectures and performance levels of an Nvidia Fermi accelerator with an Intel MIC Architecture coprocessor demonstrates the benefit of the coprocessor for bringing highly parallel applications into, or even beyond, GPGPU performance regions.

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    • (2019)Miss-aware LLC buffer management strategy based on heterogeneous multi-coreThe Journal of Supercomputing10.1007/s11227-019-02763-375:8(4519-4528)Online publication date: 1-Aug-2019
    • (2018)Optimizing memory bandwidth exploitation for OpenVX applications on embedded many-core acceleratorsJournal of Real-Time Image Processing10.1007/s11554-015-0544-015:1(73-92)Online publication date: 1-Jun-2018
    • (2015)A comparative investigation of device-specific mechanisms for exploiting HPC acceleratorsProceedings of the 8th Workshop on General Purpose Processing using GPUs10.1145/2716282.2716293(1-12)Online publication date: 7-Feb-2015
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    Published In

    cover image Computing in Science and Engineering
    Computing in Science and Engineering  Volume 14, Issue 2
    March 2012
    100 pages

    Publisher

    IEEE Educational Activities Department

    United States

    Publication History

    Published: 01 March 2012

    Author Tags

    1. GPGPU
    2. Intel MIC Architecture
    3. accelerator
    4. coprocessor
    5. many-core
    6. scientific computing

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    Cited By

    View all
    • (2019)Miss-aware LLC buffer management strategy based on heterogeneous multi-coreThe Journal of Supercomputing10.1007/s11227-019-02763-375:8(4519-4528)Online publication date: 1-Aug-2019
    • (2018)Optimizing memory bandwidth exploitation for OpenVX applications on embedded many-core acceleratorsJournal of Real-Time Image Processing10.1007/s11554-015-0544-015:1(73-92)Online publication date: 1-Jun-2018
    • (2015)A comparative investigation of device-specific mechanisms for exploiting HPC acceleratorsProceedings of the 8th Workshop on General Purpose Processing using GPUs10.1145/2716282.2716293(1-12)Online publication date: 7-Feb-2015
    • (2014)A unified programming model for intra- and inter-node offloading on Xeon Phi clustersProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC.2014.22(203-214)Online publication date: 16-Nov-2014
    • (2014)Aircraft noise scattering prediction using different accelerator architecturesThe Journal of Supercomputing10.1007/s11227-014-1107-z70:2(612-622)Online publication date: 1-Nov-2014
    • (2013)Swendsen-Wang multi-cluster algorithm for the 2D/3D Ising model on Xeon Phi and GPUProceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis10.1145/2503210.2503254(1-12)Online publication date: 17-Nov-2013
    • (2013)Improving the programmability of STHORM-based heterogeneous systems with offload-enabled OpenMPProceedings of the First International Workshop on Many-core Embedded Systems10.1145/2489068.2489069(1-8)Online publication date: 24-Jun-2013
    • (2013)Self-aware MemoryDesign Automation for Embedded Systems10.1007/s10617-014-9153-617:3-4(739-769)Online publication date: 1-Sep-2013
    • (undefined)Collating time-series resource data for system-wide job profilingNOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2016.7502958(1043-1048)

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