A Stream-Based In-Line Allocatable Multiplier for Configurable Computing

The growing demand for high-performance computing platforms has pushed the computing community to invent new architectures for processors. Recently, researchers have begun to solve the problem by the implementation of Field-Programming Gate Arrays (FPGAs). FPGAs make it possible to implement different applications on the same hardware. Unfortunately, FPGAs suffer from low bandwidth, density, and throughout. To gain the flexibility of FPGAs and to gain more computational capacity than conventional processors have, Wormhole run-time reconfigurable (RTR) techniques has been developed to address some high performance digital signal processing (DSP) problems. Multiplication is one of the basic functions used in digital signal processing. Most high-performance DSP systems rely on hardware multiplication to achieve high data throughput. To meet the processing needs of DSP, a multiplier was embedded into a prototype wormhole RTR device called Colt, but because each design has its own speed and size requirements, rarely can a designer take an already existing multiplier module and use it in Colt. Therefore redesigning multipliers is necessary for meeting the system specifications of Colt. This thesis explores the design of the multiplier from architecture level to circuit level.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Department dc:contributor.department

Electrical Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

1997

Author dc:creator

• Yang, Tsung-Han

Chair dc:contributor.committeechair

• Athanas, Peter M.

Committee members dc:contributor.committeemember

• Davis, Nathaniel J. IV
• Armstrong, James R.

• Multiplier
• Computer Arithmetic
• VLSI

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-8597-10225

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/37015