U.S. - Japan Seminar: Parallel Symbolic Computing: Languages, Systems, and Applications/October 1992/ Cambridge, Massachusetts

该奖项将支持8名美国科学家参加将于1992年10月13日至16日在马萨诸塞州剑桥市举行的美日并行符号计算研讨会：语言、系统和应用程序。联合组织者是麻省理工学院计算机科学实验室的Anant Agarwal教授和Digital Equipment Corporation的Robert Halstead，以及日本仙台东北大学信息工程系的Takayasu Ito教授。研讨会的目的是让美国和日本的研究人员齐聚一堂，讨论重要的共同理论和实现问题、并行符号计算的应用领域、如何将并行技术更广泛地应用于符号计算，以及研究合作的机会。并行和分布式计算作为实现高计算性能的经济有效的方法正变得越来越重要。符号计算在应用程序中广泛存在，因此并行符号计算很重要，但符号计算因其使用不规则的数据结构(如树、列表和图)以及对它们的不规则的数据驱动操作而引人注目。因此，并行符号计算有其独特的一系列技术挑战。研讨会将有助于让美国和日本的研究人员更多地了解对方国家的进展，并帮助他们更多地了解自己国家的研究。

This award will support the participation of eight U.S. scientists in a U.S.-Japan Seminar on Parallel Symbolic Computing: Languages, Systems, and Applications, to be held in Cambridge, Massachusetts October 13-16, 1992. The co-organizers are Professor Anant Agarwal of the MIT Laboratory for Computer Science and Robert Halstead of Digital Equipment Corporation, and Professor Takayasu Ito, Department of Information Engineering, Tohoku University, Sendai, Japan. The objectives of the seminar are to bring U.S. and Japanese researchers together to discuss important common theoretical and implementation problems, application areas for parallel symbolic computing, how to move parallelism into wider use for symbolic computing, and opportunities for research collaboration. Parallel and distributed computing are becoming increasingly important as cost-effective ways to achieve high computational performance. Symbolic computing is widespread in applications and hence parallel symbolic computing is important, but symbolic computations are notable for their use of irregular data structures (such as trees, lists, and graphs) and irregular, data-driven operations on them. As a result, parallel symbolic computing has its own distinctive set of technical challenges. The seminar will be valuable in making researchers in the United States and Japan more aware of progress in the other country as well as helping them learn more about research in their own countries.