Parallel Spreadsheet Programming for the Masses
- Alexander Bock
Research Output:
Contribution to conference - NOT published in proceeding or journal
Conference abstract for conference
Peer-review
Open access
Publication Information
Output type
Research Output:
Contribution to conference - NOT published in proceeding or journal
Conference abstract for conference
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 23/06/2018
Publication status
Published - 23/06/2018
Abstract
Spreadsheets are abundant in many areas such as science and finance, and are likely the world’s most widely used form of functional programming. Equally as ubiquitous are multi-core processors and for spreadsheet end-users to leverage them for heavyweight computation, it has until now been necessary to hire experts.
We report on static and dynamic approaches for enabling automatic parallelisation of spreadsheets, obtaining nearly a 16-fold speed-up and requiring no additional effort from end-users.
We report on static and dynamic approaches for enabling automatic parallelisation of spreadsheets, obtaining nearly a 16-fold speed-up and requiring no additional effort from end-users.
Access to documents
Accepted author manuscript, 356.81 KB
Related Event
Title
Programming Language Design and Implementation
Event type
ConferenceDegree of recognition
International eventDate
18/06/2018 - 22/06/2018Location
Hilton Philadelphia at Penn's LandingPhiladelphiaUnited States