Workshop on Parallel Processing: Architecture and Programming

并行处理是计算机科学中一个新兴的、快速发展的领域。它是一门综合性的学科，涵盖了并行架构、编程和算法的基本概念和技术。近年来并行处理技术的迅速发展对高校教育产生了重大影响。本项目是一个为期九天的并行处理：架构与编程研讨会，汇集了来自全国各地的35名学院和大学教师，学习这一计算机科学新领域的基本理论和实践，并讨论利用并行处理提高本科课程的问题。研讨会向参加者介绍了可用于加强计算机组织、计算机体系结构、计算机系统、并行处理、编程语言、并发编程、算法设计和分析以及计算理论等本科课程的主题。该研讨会强调在加州州立大学弗雷斯诺分校应用并行处理和图形实验室的实际编程活动，该实验室的建立得到了美国国家科学基金会仪器和实验室改进计划的支持。工作坊提供6个两小时的辅导讲座，由蓝金、关重子和蓝杨主讲。每堂课之后是一小时的讨论和三小时的实验。讲座内容涉及并行处理、共享变量和消息传递编程、并行算法和主要并行架构的基础知识。在课程设计和教学方法、实验室发展、并行处理的发展趋势等主题上组织了三个小组讨论。研讨会非常注重后续活动，包括在研讨会结束后的整个学年都有一个活跃的电子论坛。

Parallel processing is a new and fast growing field of computer science. It is a comprehensive discipline, covering fundamental concepts and techniques of parallel architecture, programming, and algorithms. The rapid development of parallel processing in recent years has been incurring a significant impact on college education. This project is a nine-day workshop on Parallel Processing: Architecture and Programming, bringing together 35 college and university faculty members from all over the country to learn the basic theory and practice in this new field of Computer Science and discuss the issues of enhancing the undergraduate curriculum by Parallel Processing. The workshop introduces the participants to topics that can be used to enhance undergraduate courses in computer organization, computer architecture, computer systems, parallel processing, programming languages, concurrent programming, design and analysis of algorithms, and theory of computation. The workshop emphasizes practical programming activities in Applied Parallel Processing and Graphics Laboratory at California State University-Fresno, the establishment of which has been supported by NSF Instrumentation and Laboratory Improvement Program. The workshop offers six two-hour tutorial lectures by Lan Jin, Shigeko Seki, and Lan Yang. Each lecture is followed by a one-hour discussion and three-hour laboratory work. The lectures address fundamentals of parallel processing, shared-variable and message- passing programming, parallel algorithms, and major parallel architectures. Three panel discussions are organized on the topics such as curriculum design and teaching methodologies, laboratory development, and trends of development of parallel processing. The workshop pays great attention to follow-up activities including an active electronic forum throughout the academic year after the workshop.