Applied Algorithms: Tech Transfer from the Algorithms Toolbox

应用算法：算法工具箱的技术转移

• 批准号: 0635286
• 负责人: David Karger
• 金额: $ 25万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0635286&HistoricalAwards=false
• 关键词: Applied; Algorithms; Tech; Transfer; Toolbox

Applied Algorithms: Technology Dissemination from The Algorithms ToolboxOver the past decades, the field of algorithms has developed a toolbox of theoretical techniques that let computer systems to do more with less---to solve harder problems more quickly, using less memory, less communication with other computers, and less of a human user's assistance. One measure of algorithms' research success has been the large number of implemented systems whose designs have been impacted by contributions from the algorithms community. There are many more such successes waiting in the wings for individuals or groups who can draw the connection between an existing algorithmic technique and an existing applied problem. This research addresses the process of ``technology transfer'' from the algorithmic toolbox to other computer science domains. The investigator is working closely with practitioners in various areas of computer science to identify computational problems whose efficient solution would advance their research agendas, dig through the theory toolbox to find techniques that, properly adapted, can be used to efficiently solve those problems, and assist in such adaptation. Domains being addressed include web caching, mobile networking, peer to peer systems, machine learning, robot navigation, coding, optical networking, and compilers. But rather than being driven by a particular problem domain, the investigator is interested in the overall process for applying theoretical work in algorithms to problems in the practical domain, and is always seeking new applied problems that can benefit from this approach. Successful completion of the proposed work will contribute advancement to many different branches of computer science. The contributions to other branches of computer science will, in turn, allow them to achieve their goals of broad impact on society. The investigator also hopes to increase the general sense of connection between theoreticians and practitioners, yielding increased collaborations and successful applications of algorithms to theory beyond those made directly during this project. The project will contribute to research training by continuing to employ large numbers students with attention given to gender diversity.

应用算法：算法工具箱的技术传播在过去的几十年里，算法领域开发了一个理论技术工具箱，让计算机系统用更少的资源做更多的事情-更快地解决更难的问题，使用更少的内存，更少的与其他计算机的通信，以及更少的人类用户的帮助。衡量算法研究成功的一个标准是大量实现的系统，其设计受到算法社区贡献的影响。还有更多这样的成功等待着个人或团体，他们可以在现有的算法技术和现有的应用问题之间建立联系。本研究探讨了从算法工具箱到其他计算机科学领域的“技术转移”过程。研究人员正在与计算机科学各个领域的实践者密切合作，以确定其有效解决的计算问题将推动他们的研究议程，挖掘理论工具箱，以找到如果适当适应，可以用于有效解决这些问题的技术，并帮助进行这种适应。涉及的领域包括网络缓存、移动网络、点对点系统、机器学习、机器人导航、编码、光学网络和编译器。但研究人员对将算法中的理论工作应用于实践领域的问题的整个过程感兴趣，而不是由特定的问题领域驱动，并总是在寻找可以从这种方法中受益的新的应用问题。拟议工作的成功完成将有助于促进计算机科学的许多不同分支的发展。反过来，对计算机科学其他分支的贡献将使他们实现对社会产生广泛影响的目标。研究人员还希望增加理论家和实践者之间的一般联系，产生更多的合作和算法在理论上的成功应用，而不仅仅是在这个项目中直接做出的那些。该项目将继续雇用大量关注性别多样性的学生，从而为研究培训作出贡献。