FASTCUDA

Execution of CUDA programs on a Heterogeneous FPGA-based Architecture

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Last Update: 2016-02-16

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FASTCUDA methodology proposes the use of CUDA, a Graphical Processing Unit (GPU) language which exposes parallelism at source code in a FPGA hardware acceleration environment.The FASTCUDA toolset splits, with minimal user intervention, application's code into two parts: one that will be compiled and executed as parallel software in an embedded Multi-core, and another that will be synthesized and implemented with multiple special-purpose accelerators in hardware.

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2013-11-29

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