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Virginia Tech

Partitioning Methods and Algorithms for Configurable Computing Machines

Abstract

dc:description.abstract

This thesis addresses the partitioning problem for configurable computing machines. Specifically, this thesis presents algorithms to partition chain-structured task graphs across configurable computing machines. The algorithms give optimal solutions for throughput and total execution time for these problems under constraints on area, pin count, and power consumption. The algorithms provide flexibility for applying these constraints while remaining polynomial in complexity. Proofs of correctness as well as an analysis of runtime complexity are given. Experiments are performed to illustrate the runtime of these algorithms.

Degree

thesis:*
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
1998

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chandrasekhar, Suresh
Chair dc:contributor.committeechair
  • Jones, Mark T.
Committee members dc:contributor.committeemember
  • Ha, Dong Sam
  • Armstrong, James R.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-71798-84748
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/36909

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chandrasekhar, Suresh. Partitioning Methods and Algorithms for Configurable Computing Machines. masters thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36909