• Medientyp: E-Artikel
  • Titel: Performance and power of cache-based reconfigurable computing
  • Beteiligte: Putnam, Andrew; Eggers, Susan; Bennett, Dave; Dellinger, Eric; Mason, Jeff; Styles, Henry; Sundararajan, Prasanna; Wittig, Ralph
  • Erschienen: Association for Computing Machinery (ACM), 2009
  • Erschienen in: ACM SIGARCH Computer Architecture News
  • Sprache: Englisch
  • DOI: 10.1145/1555815.1555804
  • ISSN: 0163-5964
  • Schlagwörter: Community and Home Care
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  • Beschreibung: <jats:p>Many-cache is a memory architecture that efficiently supports caching in commercially available FPGAs. It facilitates FPGA programming for high-performance computing (HPC) developers by providing them with memory performance that is greater and power consumption that is less than their current CPU platforms, but without sacrificing their familiar, C-based programming environment.</jats:p> <jats:p>Many-cache creates multiple, multi-banked caches on top of an FGPA's small, independent memories, each targeting a particular data structure or region of memory in an application and each customized for the memory operations that access it. The caches are automatically generated from C source by the CHiMPS C-to-FPGA compiler.</jats:p> <jats:p>This paper presents the analyses and optimizations of the CHiMPS compiler that construct many-cache caches. An architectural evaluation of CHiMPS-generated FPGAs demonstrates a performance advantage of 7.8x (geometric mean) over CPU-only execution of the same source code, FPGA power usage that is on average 4.1x less, and consequently performance per watt that is also greater, by a geometric mean of 21.3x.</jats:p>