MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Scalable memory management using a distributed buddy allocator

Author(s)
Modzelewski, Kevin (Kevin Paul)
Thumbnail
DownloadFull printable version (474.5Kb)
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Anant Agarwal.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
The recent rise of multicore processors has forced us to reexamine old computer science problems in a new light. As multicores turn into manycores, we need to visit these problems yet again to find solutions that will work on these drastically different architectures. This thesis presents the design of a new page allocator algorithm based on a new distributed buddy allocator algorithm, one which is made with future processor architectures in mind. The page allocator is a vital and heavily-used part of an operating system, and making this more scalable is a necessary step to build a scalable operating system. This design was implemented in the fos [34] research operating system, and evaluated on 8- and 16-core machines. The results show that this design has comparable performance with Linux for small core counts, and with its better scalability, surpasses the performance of Linux at higher core counts.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (p. 53-56).
 
Date issued
2010
URI
http://hdl.handle.net/1721.1/61002
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

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.