MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Computer Science and Artificial Intelligence Lab (CSAIL)
  • LCS Publications
  • LCS Technical Memos (1974 - 2003)
  • View Item
  • DSpace@MIT Home
  • Computer Science and Artificial Intelligence Lab (CSAIL)
  • LCS Publications
  • LCS Technical Memos (1974 - 2003)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

How to Assemble Tree Machines

Author(s)
Bhatt, Sandeep Nautam; Leiserson, Charles E.
Thumbnail
DownloadMIT-LCS-TM-255.pdf (4.349Mb)
Metadata
Show full item record
Abstract
Many researchers have proposed that ensembles of processing elements be organized as trees. This paper explores how large tree machines can be assembled efficiently from smaller components. A principal constraint considered is the limited number of external connections from an integrated circuit chip. We also explore the emerging capabilities of restructurable VLSI which allows a chip to be customized after fabrication. We give a linear-area chip of m processors and only four off-chip connections which can be used as the sole building block to construct an arbirtarily large complete binary tree. We also present a restructurable linear-areas layout of m processors with O(lg m) pins that can realize an arbitrary binary tree of any size. This layout is based on a solution to the graph-theoretic problem: Given a tree in which each vertex is either black or white, determine how many edges need to be cut in order to bisect the tree into equal-size components, each containing exactly half the black and half the white vertices. These ideas extend to more general graphs using separator theoerems and bifurcators.
Date issued
1984-03
URI
https://hdl.handle.net/1721.1/149065
Series/Report no.
MIT-LCS-TM-255

Collections
  • LCS Technical Memos (1974 - 2003)

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.