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This work covers field programmable gate array(FPGA)-specific optimizations of circuits computing the multiplication of avariable by several constants, commonly denoted as multiple constantmultiplication (MCM). These optimizations focus on low resource usage but highperformance. They comprise the use of fast carry-chains in adder-based constantmultiplications including ternary (3-input) adders as well as the integrationof look-up table-based constant multipliers and embedded multipliers to get theoptimal mapping to modern FPGAs. The proposed methods can be used for theefficient implementation of digital filters, discrete transforms and many othercircuits in the domain of digital signal processing, communication and imageprocessing.
List of contents
Heuristic and ILP-Based Optimal Solutions for the Pipelined Multiple Constant Multiplication Problem.- Methods to Integrate Embedded Multipliers, LUT-Based Constant Multipliers and Ternary (3-Input) Adders.- An Optimized Multiple Constant Multiplication Architecture Using Floating Point Arithmetic.
About the author
Martin Kumm is working as a postdoctoral researcher at the University of
Kassel. His current research interests are digital arithmetic, digital signal
processing and discrete optimization, all in the context of field programmable
gate arrays.
Summary
This work covers field programmable gate array
(FPGA)-specific optimizations of circuits computing the multiplication of a
variable by several constants, commonly denoted as multiple constant
multiplication (MCM). These optimizations focus on low resource usage but high
performance. They comprise the use of fast carry-chains in adder-based constant
multiplications including ternary (3-input) adders as well as the integration
of look-up table-based constant multipliers and embedded multipliers to get the
optimal mapping to modern FPGAs. The proposed methods can be used for the
efficient implementation of digital filters, discrete transforms and many other
circuits in the domain of digital signal processing, communication and image
processing.
