Parallel Spreadsheet Programming for the Masses

Alexander Bock

Parallel Spreadsheet Programming for the Masses

Alexander Bock

Computer Science

Publikation: Konferencebidrag - EJ publiceret i proceeding eller tidsskrift › Konferenceabstrakt til konference › Forskning › peer review

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.

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	https://pldi18.sigplan.org/home

Adgang til dokumentet

PLDI 2018 Extended AbstractAccepteret manuskript, 357 KB

Silver Medal at the PLDI 2018 Student Research Competition
Bock, A. A. (Modtager), 2018
Pris: Priser, stipendier, udnævnelser

Citationsformater

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AU - Bock, Alexander

PY - 2018/6/23

Y1 - 2018/6/23

N2 - 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.

AB - 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.

KW - Spreadsheets

KW - Parallel computing

KW - Multi-core processors

KW - Automatic parallelisation

KW - Performance optimization

UR - https://itu.dk/people/albo/publications/

M3 - Conference abstract for conference

T2 - Programming Language Design and Implementation

Y2 - 18 June 2018 through 22 June 2018

ER -

Parallel Spreadsheet Programming for the Masses

Abstract

Konference

Adgang til dokumentet

Fingeraftryk

Priser

Silver Medal at the PLDI 2018 Student Research Competition

Citationsformater