Introducing Tetra: An Educational Parallel Programming System

2015 IEEE International Parallel and Distributed Processing Symposium Workshop Pub Date : 2015-05-25 DOI:10.1109/IPDPSW.2015.51

Ian Finlayson, Jerome Mueller, S. Rajapakse, Daniel Easterling

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引用次数: 9

Abstract

Despite the fact that we are firmly in the multicore era, the use of parallel programming is not as widespread as it could be - in the software industry or in education. There have been many calls to incorporate more parallel programming content into undergraduate computer science education. One obstacle to doing this is that the programming languages most commonly used for parallel programming are detailed, low-level languages such as C, C++, Fortran (with OpenMP or MPI), OpenCL and CUDA. These languages allow programmers to write very efficient code, but that is not so important for those whose goal is to learn the concepts of parallel computing. This paper introduces a parallel programming language called Tetra which provides parallel programming features as first class language features, and also provides garbage collection and is designed to be as simple as possible. Tetra also includes an integrated development environment which is specifically geared for debugging parallel programs and visualizing program execution across multiple threads.

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教育并行编程系统Tetra简介

尽管我们确实处于多核时代，但并行编程的使用并没有像它可能的那样广泛——在软件行业或教育领域。有很多人呼吁在本科计算机科学教育中加入更多的并行编程内容。这样做的一个障碍是，最常用于并行编程的编程语言是详细的低级语言，如C、c++、Fortran(带有OpenMP或MPI)、OpenCL和CUDA。这些语言允许程序员编写非常高效的代码，但对于那些以学习并行计算概念为目标的人来说，这并不重要。本文介绍了一种并行编程语言Tetra，它提供了并行编程的头等语言特性，并提供了垃圾回收功能，设计得尽可能简单。Tetra还包括一个集成开发环境，专门用于调试并行程序和可视化跨多线程的程序执行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 IEEE International Parallel and Distributed Processing Symposium Workshop

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