Statistics – Methodology
Scientific paper
Nov 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3807...74t&link_type=abstract
Proc. SPIE Vol. 3807, p. 74-83, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, Franklin T. Luk; E
Statistics
Methodology
Scientific paper
This paper presents the application of the Linear Sequential Array (LSA) retiming approach, developed for conventional digit- recurrence algorithms, to on-line multiplication. The result is a modular and fast pipelined structure which due to a small constant fan-out and cycle time independent of precision is suitable for FPGA implementation. First we present the basics of on-line multiplication, and determine data dependencies according to the LSA design methodology. Based on these dependencies we redesign the traditional on-line multiplier to obtain the LSA structure. Since in DSP applications one of the multiplier operands is fixed for a long sequence of operations, we briefly present a parallel-serial multiplication unit that receives one of the operands in parallel and the other operand in Most-Significant-Digit-First format. Performance and area results are provided for the LSA on-line multiplier design and then compared with the conventional on-line design, using Xilinx FPGAs as the target technology.
Ercegovac Milos D.
Louie Marianne E.
Tenca Alexandre F.
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