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.
| Original language | English |
|---|---|
| Publication date | 23 Jun 2018 |
| Number of pages | 2 |
| Publication status | Published - 23 Jun 2018 |
| Event | Programming Language Design and Implementation - Hilton Philadelphia at Penn's Landing, Philadelphia, United States Duration: 18 Jun 2018 → 22 Jun 2018 https://pldi18.sigplan.org/home |
Conference
| Conference | Programming Language Design and Implementation |
|---|---|
| Location | Hilton Philadelphia at Penn's Landing |
| Country/Territory | United States |
| City | Philadelphia |
| Period | 18/06/2018 → 22/06/2018 |
| Internet address |
Keywords
- Spreadsheets
- Parallel computing
- Multi-core processors
- Automatic parallelisation
- Performance optimization
Fingerprint
Dive into the research topics of 'Parallel Spreadsheet Programming for the Masses'. Together they form a unique fingerprint.Prizes
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Silver Medal at the PLDI 2018 Student Research Competition
Bock, A. A. (Recipient), 2018
Prize: Prizes, scholarships, distinctions