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Parallel computing / Central processing unit / Abstract algebra / Linear algebra / Vector processor / Cell / Multi-core processor / GPGPU / Array programming / Algebra / Computing / Computer architecture


Rapid codesign of a soft vector processor and its compiler Matthew Naylor and Simon W. Moore Computer Laboratory, University of Cambridge, UK {matthew.naylor,simon.moore}@.cl.cam.ac.uk Abstract—Despite a decade of acti
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Document Date: 2014-07-15 09:55:26


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VENICE / /

Company

Altera / Microsoft / /

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Facility

store Kernel / University of Cambridge / Y X store / /

IndustryTerm

window algorithms / software pipelining / typical biological network / parallel applications / strip mining / level dataparallel algorithms / serious parallel applications / vector processing / vector unit hardware / licensed commercial product / fpga-based vector processors / Hardware/software / vector co-processor / host scalar processor / neural networks / given search region / search region / soft vector processor / computing / hardware developer / software pipeline / vector processor / soft vector processors / digital signal processing / heavyweight solution / /

MarketIndex

SAXPY / /

Organization

University of Cambridge / /

Person

Matthew Naylor / Morgan Kaufmann / /

Position

designer / programmer / /

Product

II processor / II / /

ProgrammingLanguage

C / C++ / /

Technology

high-level dataparallel algorithms / soft vector processors / neuroscience / FPGA / sliding-window algorithm / vector co-processor / fpga-based vector processors / Sliding window algorithms / host scalar processor / VectorBlox MXP Matrix Processor / FPGA system / machine learning / simulation / NIOS-II processor / soft vector processor / DSP / BlueVec soft vector processor / VENICE soft vector processor / VENICE Vector Processor / /

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