Hardware Support for Bulk Data Movement in Server Platforms

  • Authors:
  • Li Zhao;Ravi Iyer;Srihari Makineni;Laxmi Bhuyan;Don Newell

  • Affiliations:
  • Department of Computer Science and Engineering, University of California, Riverside, CA;Communications Technology Lab, Intel Corporation, Hillsboro, OR;Communications Technology Lab, Intel Corporation, Hillsboro, OR;Department of Computer Science and Engineering, University of California, Riverside, CA;Communications Technology Lab, Intel Corporation, Hillsboro, OR

  • Venue:
  • ICCD '05 Proceedings of the 2005 International Conference on Computer Design
  • Year:
  • 2005

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Abstract

Bulk data movement occurs commonly in server workloads and their performance is rather poor on today驴s microprocessors. We propose the use of small dedicated copy engines, and present a detailed analysis of a bulk data copy engine architecture. We describe the hardware support required to implement the copy engine and to tightly integrate it into server platforms. Our evaluation is based on an execution driven simulator that was extended with detailed models of bulk data movement engines. The simulation results show that dedicated engines are quite effective in eliminating the data movement overhead and are an attractive choice for handling bulk data in future high performance server platforms.