Collaborative Research: CCLI-Responding to manycore: A strategy for injecting parallel computing education throughout the computer science curriculum.

圣奥拉夫学院和马卡莱斯特学院之间的这个合作项目正在开发一个包含十个学习模块的集合，并在并行计算领域提供支持软件。在可预见的未来，影响CPU硬件性能的主要因素将是每个CPU包的核心数量，而不是单个核心的加速速度。因此，今天的双核和四核多核处理器将很快让位于几十核，最终是数千核的cpu。为了让今天的计算机科学专业的学生为他们的职业生涯中的多核世界做好准备，并行计算概念和编程必须在计算机科学课程中取得新的突出地位。在这个项目中开发的模块从第一年的入门水平到第四年的高级技术选修水平不等。这些模块从Hadoop开始，发展到OpenMP和MPI。模块的模块化和不同的复杂性使机构能够将它们从单一课程调整为完整的垂直课程整合。这些模块由一系列并行平台包（包括软件和文档）提供支持，这些包使模块能够在各种硬件平台上使用。这些模块通过一个互动网站、国家数字科学图书馆和ACM计算机科学教育特别兴趣小组年会上的一个研讨会免费传播。该项目包括由独立评估机构协调的综合评估和评价计划。

Computer Science (31)This collaborative project between St. Olaf College and Macalester College is developing a collection of ten learning modules with supporting software in the area of parallel computing. For the foreseeable future, the dominant factor in CPU hardware performance will be the number of cores per CPU package, not speedup within an individual core. Thus, today's dual- and quad- multicore processors will soon give way to CPUs with dozens, and eventually thousands, of cores. To prepare today's computer science students for the manycore world that will be the reality during their careers, parallel computational concepts and programming must achieve a new prominence in the computer science curriculum. The modules developed in this project range in sophistication from the first-year introductory level to the fourth-year advanced technical elective level. The modules begin with Hadoop and progress to OpenMP and MPI. The modularity and varying complexity of the modules allows institutions to adapt them to their curriculum from a single course to a complete vertical curricular integration. The modules are supported by a selection of parallel platform packages, including software and documentation, that enable the modules to be used on a variety of hardware platforms. The modules are being freely disseminated through an interactive website, the National Digital Science Library, and through a workshop at the annual meeting of the ACM Special Interest Group for Computer Science Education. The project includes a comprehensive assessment and evaluation plan coordinated by an independent evaluator.