Next-Generation Design and EDA Challenges: Small Physics, Big Systems, and Tall Tool-Chains

Rob A. Rutenbar
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引用次数: 13

Abstract

There is much discussion of two challenges in the design of tomorrow’s electronics: the difficult “small physics” of nanoscale transistors, and the silicon/software complexity of “big systems”. But those of us who want to build beautiful algorithms have an additional hurdle: “tall tool-chains”. If it takes 50 tool-steps to build an industrial-strength design flow, and each tool is based on 1-2 “big algorithms”, does this mean that each new algorithm idea is worth, at best, 1-2% of the success of a design? This seems to me a bad way of accounting for the tremendous value that EDA brings to the world of design. How can we have a big impact in this important technology area? In this talk, I will offer several pieces of advice for how not to get buried by the tall-toolchain problem. I will discuss how to identify design problems that can have large impact, how to embrace the strange physics of tomorrow’s silicon technologies in the service of building beautiful algorithms, and how to get fresh (and unique) insights on problems by spending time working with a real design team. I will use design examples ranging from lithography, to computational finance, to silicon-based speech recognition, to illustrate the point that this is an exciting time to be working on tomorrow’s tool and design challenges.
下一代设计和EDA挑战:小物理、大系统和高工具链
人们对未来电子产品设计中的两大挑战进行了大量讨论:纳米级晶体管的困难“小物理”,以及“大系统”的硅/软件复杂性。但是,我们这些想要构建漂亮算法的人还有一个额外的障碍:“高工具链”。如果构建工业强度的设计流程需要50个工具步骤,并且每个工具都基于1-2个“大算法”,这是否意味着每个新的算法想法最多只值设计成功的1-2% ?在我看来,这似乎是一个糟糕的方式来解释EDA给设计世界带来的巨大价值。我们怎样才能在这个重要的技术领域产生重大影响?在这次演讲中,我将提供一些关于如何不被高工具链问题所淹没的建议。我将讨论如何识别可能产生巨大影响的设计问题,如何在构建美丽算法的服务中拥抱未来硅技术的奇怪物理,以及如何通过花时间与真正的设计团队合作来获得对问题的新鲜(和独特)见解。我将使用从光刻、计算金融到基于硅的语音识别等设计示例来说明,这是一个令人兴奋的时刻,致力于未来的工具和设计挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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