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

协作研究：CCLI-响应众核：在整个计算机科学课程中注入并行计算教育的策略。

• 批准号: 0942190
• 负责人: Richard Brown
• 金额: $ 12.97万
• 依托单位: Saint Olaf College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-15 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0942190&HistoricalAwards=false
• 关键词: Collaborative; Research; CCLI; Responding; manycore

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.

计算机科学 (31) 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系列十个学习模块以及并行计算领域的支持软件。 在可预见的未来，CPU 硬件性能的主导因素将是每个 CPU 封装的核心数量，而不是单个核心内的加速。因此，今天的双核和四核处理器很快就会让位于具有数十个甚至数千个核心的CPU。 为了让当今的计算机科学学生为职业生涯中将成为现实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。 该项目开发的模块的复杂程度从第一年的入门级到第四年的高级技术选修级。 这些模块从 Hadoop 开始，逐渐发展到 OpenMP 和 MPI。模块的模块化和不同的复杂性使机构能够根据自己的课程进行调整，从单一课程到完整的垂直课程整合。 这些模块由一系列并行平台软件包支持，包括软件和文档，使这些模块能够在各种硬件平台上使用。 这些模块正在通过互动网站、国家数字科学图书馆以及 ACM 计算机科学教育特别兴趣小组年会上的研讨会免费传播。 该项目包括由独立评估员协调的综合评估和评价计划。