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.
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 23 jun. 2018 |
| Antal sider | 2 |
| Status | Udgivet - 23 jun. 2018 |
| Begivenhed | Programming Language Design and Implementation - Hilton Philadelphia at Penn's Landing, Philadelphia, USA Varighed: 18 jun. 2018 → 22 jun. 2018 https://pldi18.sigplan.org/home |
Konference
| Konference | Programming Language Design and Implementation |
|---|---|
| Lokation | Hilton Philadelphia at Penn's Landing |
| Land/Område | USA |
| By | Philadelphia |
| Periode | 18/06/2018 → 22/06/2018 |
| Internetadresse |
Emneord
- Spreadsheets
- Parallel computing
- Multi-core processors
- Automatic parallelisation
- Performance optimization
Fingeraftryk
Dyk ned i forskningsemnerne om 'Parallel Spreadsheet Programming for the Masses'. Sammen danner de et unikt fingeraftryk.Priser
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Silver Medal at the PLDI 2018 Student Research Competition
Bock, A. A. (Modtager), 2018
Pris: Priser, stipendier, udnævnelser