Combining associative computing and distributed arithmetic methods for efficient implementation of multiple inner products

2012 ◽  
Author(s):  
David Guevorkian ◽  
Timo Yli-Pietilä ◽  
Petri Liuha ◽  
Karen Egiazarian
Keyword(s):  
Efficient Implementation ◽  
Distributed Arithmetic ◽  
Inner Products ◽  
Associative Computing

Modified Distributed Arithmetic Concept for Implementations Targeted at Heterogeneous FPGAs

2010 ◽  
Vol 56 (4) ◽  
pp. 345-350
Author(s):  
Mariusz Rawski
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Efficient Implementation ◽  
Heterogeneous Structure ◽  
Distributed Arithmetic ◽  
Architecture Exploration ◽  
Flexible Architecture ◽  
Heterogeneous Fpga

Modified Distributed Arithmetic Concept for Implementations Targeted at Heterogeneous FPGAsDistributed Arithmetic (DA) plays an important role in designing digital signal processing modules for FPGA architectures. It allows replacing multiply-and-accumulate (MAC) operations with combinational blocks. The quality of implementations based on DA strongly depends on efficiency of methods that map combinational DA block into FPGA resources. Since modern FPGAs have heterogeneous structure, there is a need for quality algorithms to target these structures and the need for flexible architecture exploration aiding in appropriate mapping. The paper presents a modification of DA concept that allows for very efficient implementation in heterogeneous FPGA architectures.

Sign in / Sign up

Export Citation Format

Share Document