Experiments in mapping expressions to DSP blocks

Bajaj Ronak; Suhaib A. Fahmy

doi:10.1109/FCCM.2014.34

Experiments in mapping expressions to DSP blocks

Bajaj Ronak, Suhaib A. Fahmy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Mapping complex mathematical expressions to DSP blocks by relying on synthesis from pipelined code is inefficient and results in significantly reduced throughput. We have developed a tool to demonstrate the benefit of considering the structure and pipeline arrangement of the DSP block in mapping of functions. Implementations where the structure of the DSP block is considered during pipelining achieve double the throughput of other methods, demonstrating that the structure of the DSP block must be considered when scheduling complex expressions.

Original language	English (US)
Title of host publication	Proceedings - 2014 IEEE 22nd International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479951116
DOIs	https://doi.org/10.1109/FCCM.2014.34
State	Published - Jan 1 2014
Externally published	Yes

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Generated from Scopus record by KAUST IRTS on 2021-03-16

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10.1109/FCCM.2014.34

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abstract = "Mapping complex mathematical expressions to DSP blocks by relying on synthesis from pipelined code is inefficient and results in significantly reduced throughput. We have developed a tool to demonstrate the benefit of considering the structure and pipeline arrangement of the DSP block in mapping of functions. Implementations where the structure of the DSP block is considered during pipelining achieve double the throughput of other methods, demonstrating that the structure of the DSP block must be considered when scheduling complex expressions.",

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Y1 - 2014/1/1

N2 - Mapping complex mathematical expressions to DSP blocks by relying on synthesis from pipelined code is inefficient and results in significantly reduced throughput. We have developed a tool to demonstrate the benefit of considering the structure and pipeline arrangement of the DSP block in mapping of functions. Implementations where the structure of the DSP block is considered during pipelining achieve double the throughput of other methods, demonstrating that the structure of the DSP block must be considered when scheduling complex expressions.

AB - Mapping complex mathematical expressions to DSP blocks by relying on synthesis from pipelined code is inefficient and results in significantly reduced throughput. We have developed a tool to demonstrate the benefit of considering the structure and pipeline arrangement of the DSP block in mapping of functions. Implementations where the structure of the DSP block is considered during pipelining achieve double the throughput of other methods, demonstrating that the structure of the DSP block must be considered when scheduling complex expressions.

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UR - http://www.scopus.com/inward/record.url?scp=84912557739&partnerID=8YFLogxK

U2 - 10.1109/FCCM.2014.34

DO - 10.1109/FCCM.2014.34

M3 - Conference contribution

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BT - Proceedings - 2014 IEEE 22nd International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Experiments in mapping expressions to DSP blocks

Abstract

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