Introducing Parallel Programming Techniques into the Freshman Curricula

该提案的目标是重组大学并行编程的教学方式。并行编程在研究型大学的高年级和研究生阶段被作为一个专门的主题来教授。然而，随着多处理器系统的重要性日益增加，现在在更早的阶段和更广泛的受众中引入并行编程既可行又必要。本提案将探讨在大一引入并行编程技术，整合现有顺序编程课程的材料。并行编程技术的介绍及其应用将在适当的情况下以类似的方式在整个本科课程中以渐进和建设性的方式继续进行。在早期阶段引入并行编程有两个主要问题，这将在他的建议中解决。首先，它需要特别注意材料的传播和整合。其次，它需要一个合适的计算平台。大班并行编程教学的主要障碍是缺乏合适的计算平台。最近的进展将用于网络工作站和并行编程工具，使工作站能够集体使用。我们将探讨如何在并行编程教育环境中有效地使用这种网络。新的教育材料将被制作出来，这些材料将免费提供给其他机构。这一建议不仅旨在影响计算机科学和工程课程，还包括其他学科的许多方面，因为编程及其应用广泛分布在许多学科中，包括物理科学、自然科学、商业和商业。

The goal of this proposal is to restructure how parallel programming is taught at universities. Parallel programming has been taught as a specialized topic at the senior and graduate levels in research universities. However with the growing importance of multiprocessor systems, it is now both feasible and necessary to introduce parallel programming at a much earlier stage and to a wider audience. This proposal will investigate introducing parallel programming techniques at the freshman year, integrating the material with existing sequential programming classes. The introduction of parallel programming techniques and their application will be continued in a similar fashion throughout the undergraduate curriculum wherever appropriate, in a gradual and constructive way. Introducing parallel programming at an earlier stage has two major problems which will be addressed in his proposal. First it requires special attention to dissemination and integration of the material. Second it requires a suitable computing platform. A major hindrance to teaching parallel programming with large classes has been unavailability of suitable computing platforms. Recent advances will be used in networked workstations and parallel programming tools which enable the workstations to be used collectively. How such networks can be used effectively in a parallel programming educational setting will be explored. New educational material will be created, which will be made freely available to other institutions. This proposal is intended to influence not only computer science and engineering curricula but also many aspects of other disciplines, as programming and its application are widely dispersed among many disciplines, including the physical sciences, natural sciences, business, and commerce.