Introducing Parallel Programming Techniques into the Freshman Curricula

该提案的目标是重组大学如何教授并行编程。 并行程序设计已被教授作为一个专门的主题，在高级和研究生水平的研究型大学。然而，随着多处理器系统的重要性日益增加，现在在更早的阶段向更广泛的受众引入并行编程是可行的，也是必要的。这个建议将调查介绍并行编程技术在大一，整合现有的顺序编程类的材料。并行编程技术及其应用的介绍将继续在整个本科课程在适当的情况下，以渐进和建设性的方式以类似的方式。 在较早阶段引入并行编程有两个主要问题，这将在他的建议中得到解决。 首先，需要特别注意材料的传播和整合。其次，它需要合适的计算平台。一个主要的障碍，教学并行编程与大型类一直是不可用的合适的计算平台。最新的进展将用于联网工作站和并行编程工具，使工作站能够集体使用。将探讨如何在并行编程教育环境中有效地使用这种网络。将编写新的教材，免费提供给其他机构。这个建议不仅影响计算机科学和工程课程，而且影响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.