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Synthesis of Data-Parallel Algorithms for Programmable Logic Devices

Authors: Issam Damaj;

Synthesis of Data-Parallel Algorithms for Programmable Logic Devices

Abstract

Behavioral high-level hardware design tools are currently considered powerful and can largely facilitate the hardware development cycle as a whole. Modern hardware design tools can target high-density programmable logic devices, such as, Field Programmable Gate Arrays. Currently, hardware/software co-design is witnessing a growing focus on finding alternative methods that could further improve the design process. In this paper, we explore the effectiveness and extend a formal methodology for hardware design. The method adopts a a step-wise refinement approach that starts development from formal specifications. A functional programming notation is used for specifying algorithms and for reasoning about them. The method is aided by off-the-shelf refinements based on the operators of Communicating Sequential Processes that map easily to programs written in Handel-C. Handel-C descriptions are directly compiled into reconfigurable hardware. The practical realization of this methodology is evidenced by a case studying data-parallel implementations of a matrix multiplication algorithm. The developed designs are compiled and tested under Agility's RC-1000 reconfigurable computer with its 2 million gates Virtex-E FPGA. Performance analysis and evaluation of the presented implementations are included.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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