uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards Enabling Low-Level Memory Optimisations at the High-Level with Ownership Annotations
Imperial College London.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
Imperial College London.
2016 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

In modern architectures, due to the huge gap between CPU performance and memory bandwidth, an application’s performance highly depends on the speed at which the system is able to deliver data to operate on. The placement of data in memory affects the number of cache misses, and thus the overall speed of the application. To address this, pooling and splitting are two techniques that allow to group or split data in memory, according to whether they are usually accessed together or separately. However, theseare either low-level optimisations, or outside the control of the programmer. We propose OHMM, an object-oriented programming language that uses ownership-like annotations to express high-level constraintson how objects should be placed in memory. These annotations will allow the runtime to allocate objects using pooling andsplitting, and thus lead to efficient data accesses. In this short paper, we explain OHMM through an example, show how the objects will be laid out, and informally argue the benefits in terms of cache performance.

Place, publisher, year, edition, pages
2016.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-309844OAI: oai:DiVA.org:uu-309844DiVA, id: diva2:1052976
Conference
International Workshop on Aliasing, Capabilities and Ownership (IWACO)
Projects
UPMARCSAUPSCALEAvailable from: 2016-12-07 Created: 2016-12-07 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

fulltext(999 kB)100 downloads
File information
File name FULLTEXT01.pdfFile size 999 kBChecksum SHA-512
b66c22c1fb91baf7dfc3138a1e71ef3d8def4876c6208704e3d000dc185cf86c667fce6ef6661d7e7e9f5b15a141e2e147f9b2faf696ed486956e8068e5bbf9f
Type fulltextMimetype application/pdf

Other links

Fulltext

Authority records BETA

Wrigstad, Tobias

Search in DiVA

By author/editor
Wrigstad, Tobias
By organisation
Computing Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 100 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 562 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf