GEMs: shared-memory parallel programming for Node.js

Daniele Bonetta; Luca Salucci; Stefan Marr; Walter Binder

doi:10.1145/2983990.2984039

GEMs: shared-memory parallel programming for Node.js

Daniele Bonetta, Luca Salucci, Stefan Marr, Walter Binder

Institute for Systems Software

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

JavaScript is the most popular programming language for client-side Web applications, and Node.js has popularized the language for server-side computing, too. In this domain, the minimal support for parallel programming remains how- ever a major limitation. In this paper we introduce a novel parallel programming abstraction called Generic Messages(GEMs).GEMs allow one to combine message passing and shared-memory parallelism, extending the classes of parallel applications that can be built with Node.js. GEMs have customizable semantics and enable several forms of thread safety, isolation, and concurrency control. GEMs are designed as convenient JavaScript abstractions that expose high-level and safe parallelism models to the developer. Ex-periments show that GEMs outperform equivalent Node.js applications thanks to their usage of shared memory.

Original language	English
Title of host publication	Proceeding OOPSLA 2016 Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications
Place of Publication	New York
Publisher	ACM
Pages	531-547
Number of pages	17
Volume	51
ISBN (Print)	978-1-4503-4444-9
DOIs	https://doi.org/10.1145/2983990.2984039
Publication status	Published - Oct 2016

Fields of science

102 Computer Sciences
102009 Computer simulation
102011 Formal languages
102013 Human-computer interaction
102022 Software development
102024 Usability research
102029 Practical computer science

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.1145/2983990.2984039

Cite this

@inproceedings{7e24950abea94f3aa68673050e09f1bc,

title = "GEMs: shared-memory parallel programming for Node.js",

abstract = "JavaScript is the most popular programming language for client-side Web applications, and Node.js has popularized the language for server-side computing, too. In this domain, the minimal support for parallel programming remains how- ever a major limitation. In this paper we introduce a novel parallel programming abstraction called Generic Messages(GEMs).GEMs allow one to combine message passing and shared-memory parallelism, extending the classes of parallel applications that can be built with Node.js. GEMs have customizable semantics and enable several forms of thread safety, isolation, and concurrency control. GEMs are designed as convenient JavaScript abstractions that expose high-level and safe parallelism models to the developer. Ex-periments show that GEMs outperform equivalent Node.js applications thanks to their usage of shared memory.",

author = "Daniele Bonetta and Luca Salucci and Stefan Marr and Walter Binder",

year = "2016",

month = oct,

doi = "10.1145/2983990.2984039",

language = "English",

isbn = "978-1-4503-4444-9",

volume = "51",

pages = "531--547",

booktitle = "Proceeding OOPSLA 2016 Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications",

publisher = "ACM",

}

GEMs: shared-memory parallel programming for Node.js. / Bonetta, Daniele; Salucci, Luca; Marr, Stefan et al.
Proceeding OOPSLA 2016 Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications. Vol. 51 New York: ACM, 2016. p. 531-547.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - GEMs: shared-memory parallel programming for Node.js

AU - Bonetta, Daniele

AU - Salucci, Luca

AU - Marr, Stefan

AU - Binder, Walter

PY - 2016/10

Y1 - 2016/10

N2 - JavaScript is the most popular programming language for client-side Web applications, and Node.js has popularized the language for server-side computing, too. In this domain, the minimal support for parallel programming remains how- ever a major limitation. In this paper we introduce a novel parallel programming abstraction called Generic Messages(GEMs).GEMs allow one to combine message passing and shared-memory parallelism, extending the classes of parallel applications that can be built with Node.js. GEMs have customizable semantics and enable several forms of thread safety, isolation, and concurrency control. GEMs are designed as convenient JavaScript abstractions that expose high-level and safe parallelism models to the developer. Ex-periments show that GEMs outperform equivalent Node.js applications thanks to their usage of shared memory.

AB - JavaScript is the most popular programming language for client-side Web applications, and Node.js has popularized the language for server-side computing, too. In this domain, the minimal support for parallel programming remains how- ever a major limitation. In this paper we introduce a novel parallel programming abstraction called Generic Messages(GEMs).GEMs allow one to combine message passing and shared-memory parallelism, extending the classes of parallel applications that can be built with Node.js. GEMs have customizable semantics and enable several forms of thread safety, isolation, and concurrency control. GEMs are designed as convenient JavaScript abstractions that expose high-level and safe parallelism models to the developer. Ex-periments show that GEMs outperform equivalent Node.js applications thanks to their usage of shared memory.

UR - http://dl.acm.org/citation.cfm?id=2984039

U2 - 10.1145/2983990.2984039

DO - 10.1145/2983990.2984039

M3 - Conference proceedings

SN - 978-1-4503-4444-9

VL - 51

SP - 531

EP - 547

BT - Proceeding OOPSLA 2016 Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications

PB - ACM

CY - New York

ER -

GEMs: shared-memory parallel programming for Node.js

Abstract

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JKU Focus areas

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Java VM Compiler Performance (Oracle)

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GEMs: shared-memory parallel programming for Node.js

Abstract

Fields of science

JKU Focus areas

Access to Document

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Java VM Compiler Performance (Oracle)

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