Difference between revisions of "DPS921/Web Worker API"

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= The Problem =
 
= The Problem =
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Parallel computing has certainly become a very wide-spread and rapidly-developing area in programming. It comes from the fact that a number of resources grouped together can solve problems faster. We are all well-aware of multi-core and multithreaded CPUs and GPUs that provide technical compatibility to support parallel computing. There are a number of parallel computing libraries, such as OpenMP, MPI, TBB, that we have looked into in our course. However, we have not discussed any front-end web development APIs allowing for multithreading.
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Modern web applications feature a wide range of computationally expensive tasks, such as data fetching, advertisement, image processing, and others. Until recently, parallel computation has been mostly applied on the backend part of web applications and not so much on the front-end. However, to keep up with the increased backend parallelism frontend also needs to utilize this technique. As stated previously, in our research project we will investigate how the use of Web Workers API might help us achieve this goal.
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= Web Worker API =
 
= Web Worker API =

Revision as of 16:47, 30 November 2020

Project Summary

The following subsections includes the basic information about the project.

Team Members

  1. Khang Nguyen
  2. Anton Biriukov
  3. Akshatkumar Patel

Brief Description

JavaScript is a powerful programming language of the web but it is single-threaded by nature. The Web Worker API, introduced in HTML5 and supported by modern browsers, remedies that by enabling web applications to execute computationally expensive JavaScript code in a background thread separated from the main interface thread. Besides that, a background thread can be shared between other threads in the same web application and, therefore, facilitates lightweight communication between multiple windows of that application. Overall, the project's objectives are to explore the Web Worker API and how to utilize it in improving the overall performance and user experience of web applications.

The Problem

Parallel computing has certainly become a very wide-spread and rapidly-developing area in programming. It comes from the fact that a number of resources grouped together can solve problems faster. We are all well-aware of multi-core and multithreaded CPUs and GPUs that provide technical compatibility to support parallel computing. There are a number of parallel computing libraries, such as OpenMP, MPI, TBB, that we have looked into in our course. However, we have not discussed any front-end web development APIs allowing for multithreading.

Modern web applications feature a wide range of computationally expensive tasks, such as data fetching, advertisement, image processing, and others. Until recently, parallel computation has been mostly applied on the backend part of web applications and not so much on the front-end. However, to keep up with the increased backend parallelism frontend also needs to utilize this technique. As stated previously, in our research project we will investigate how the use of Web Workers API might help us achieve this goal.

Web Worker API

Overview

Dedicated Worker

Shared Worker

References