Compiling C-Like Languages to FPGA Hardware: Some Novel Approaches Targeting Data Memory Organisation

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Provided by: University of Pécs
Topic: Hardware
Format: PDF
In this paper the authors describe their approaches to raise the level of abstraction at which hardware suitable for accelerating computationally-intensive applications can be specified. Field-Programmable Gate Arrays (FPGAs) are becoming adopted as a computational platform by the high-performance computing community, but there are challenges to extract maximum performance from these devices. Unlike other approaches, their focus is on data memory organization and input-output bandwidth considerations, which are the typical stumbling block of existing hardware compilation schemes.
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