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Design Space Exploration of Parametric Pipelined Designs

Adrien Le Masle, Wayne Luk

Proceedings Edited
21st IEEE International Conference on Application-specific Systems Architectures and Processors (ASAP)
August, 2010
Abstract

This paper shows how a general form of algorithms

consisting of a loop with loop-carried dependencies of

one can be mapped to a parametric hardware design with

pipelining and replication features. A technology-independent

parametric model of the proposed design is developed to

capture the variations of area and throughput with the number

of pipeline stages and replications. This model allows rapid

optimisation of design parameters by a few pre-synthesis operations.

We present an optimisation process based on this model,

and apply it to a Montgomery multiplier implementation on

a Xilinx XC5VLX50T FPGA. Our approach is shown to be

capable of accurately predicting the values of the parameters

that maximise the throughput of the multiplier. In particular,

up to 6.5 times fewer synthesis operations are required when

compared with a complete search through the design space of

the multiplier. This would speed up the synthesis process by

14 times, saving more than 23 hours of development time.

BibTEX file for the publication
 

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