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）在圣奥拉夫学院和麦卡莱斯特学院之间的合作项目正在与平行计算领域的支持软件一起开发十个学习模块的集合。 在可预见的未来，CPU硬件性能的主要因素将是每个CPU软件包的核心数，而不是在单个核心内加速。因此，当今的双重和四核处理器很快就会以数十个核心（最终成千上万的核心）让位于CPU。 为了为当今的计算机科学专业的学生准备许多核心世界，这将是他们职业生涯中的现实，平行的计算概念和编程必须在计算机科学课程中实现新的知名度。 从第一年的入门水平到四年级高级技术选修课，该项目在该项目中开发的模块。 模块始于Hadoop，并发展为OpenMP和MPI。模块的模块化和不同的复杂性使机构可以使其从单个课程中调整为完整的垂直课程集成。 这些模块得到了一系列并行平台软件包的支持，包括软件和文档，这些软件和文档可以在各种硬件平台上使用这些模块。 这些模块通过交互式网站，国家数字科学图书馆以及ACM ACM特殊兴趣小组的年度会议的讲习班自由传播。 该项目包括由独立评估者协调的全面评估和评估计划。