GEMs: shared-memory parallel programming for Node.js

BonettaDaniele,; SalucciLuca,; MarrStefan,; BinderWalter,

doi:10.1145/3022671.2984039

Cited by 3 publications

(1 citation statement)

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“…Generic Messages (GEMs) (Bonetta, Salucci, Marr, & Binder, 2019) is a library for Node.Js, complements JavaScript by adding controlled and secure shared memory that allows users to take advantage of hardware availability, thus being able to build cache for services that require scaling, optimize communications between microservices, improve data transfer times and achieve zero-copy messaging. GEMs implements the Java memory model.…”

Section: Generic Messagesmentioning

confidence: 99%

λHive

Teragni

Pons

2022

International Journal of Cloud Applications and Computing

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Edge computing is a paradigm that brings computation and data storage closer to the location where it is needed to improve response times and save bandwidth. It applies virtualization technology that makes it easier to deploy and run a wider range of applications on the edge servers and take advantage of largely unused computational resources. This article describes the design and formalization of Hive, a distributed shared memory model that can be transparently integrated with JavaScript using a standard out of the box runtime. To define such a model, a formal definition of the JavaScript language was used and extended to include modern capabilities and custom semantics. This extended model is used to prove that the distributed shared memory can operate on top of existing and unmodified web browsers, allowing the use of any computer and smartphone as a part of the distributed system. The proposed model guarantees the eventual synchronization of data across all the system and provides the possibility to have a stricter consistency using standard http operations.

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Section: Generic Messagesmentioning

confidence: 99%

λHive

Teragni

Pons

2022

International Journal of Cloud Applications and Computing

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SPMP: A JavaScript Support for Shared Persistent Memory on Node.js

Zhang

Deng

et al. 2018

Algorithms and Architectures for Parallel Processing

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A Comprehensive Exploration of Languages for Parallel Computing

et al. 2022

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Software-intensive systems in most domains, from autonomous vehicles to health, are becoming predominantly parallel to efficiently manage large amount of data in short (even real-) time. There is an incredibly rich literature on languages for parallel computing, thus it is difficult for researchers and practitioners, even experienced in this very field, to get a grasp on them. With this work we provide a comprehensive, structured, and detailed snapshot of documented research on those languages to identify trends, technical characteristics, open challenges, and research directions. In this article, we report on planning, execution, and results of our systematic peer-reviewed as well as grey literature review, which aimed at providing such a snapshot by analysing 225 studies.

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GEMs: shared-memory parallel programming for Node.js

Cited by 3 publications

References 39 publications

λHive

λHive

SPMP: A JavaScript Support for Shared Persistent Memory on Node.js

A Comprehensive Exploration of Languages for Parallel Computing

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