CAREER: Leveraging Heterogeneous Manycore Systems for Scalable Modeling, Simulation and Verification of Nanoscale Integrated Circuits

职业：利用异构众核系统进行纳米级集成电路的可扩展建模、仿真和验证

• 批准号: 2041519
• 负责人: Zhuo Feng
• 金额: $ 14.02万
• 依托单位: Stevens Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2041519&HistoricalAwards=false
• 关键词: CAREER; Leveraging; Heterogeneous; Manycore; Systems

The goal of this CAREER research project is to best unleash the power of emerging heterogeneous manycore CPU-GPU computing platforms. This will require revolutionizing the next-generation Electronic Design Automation (EDA) tools to deal with unprecedented complexity of circuits involving billions of components, making possible their modeling, analysis and verification tasks which would be prohibitively expensive and even intractable with methods in use today. The experience acquired in this research is also likely to contribute to advances in the use of computing in other areas of science and engineering, thus impacting areas such as complex system modeling and simulation, computational fluid dynamics, social computing, and systems biology. The PI will promote undergraduate and underrepresented student research, as well as K-12 education outreach, to motivate students in pursuing advanced engineering education or a career in STEM areas. Additionally, the PI will integrate the research outcomes into undergraduate and graduate curriculum development, and leverage interdisciplinary, industrial and international collaborations to effectively facilitate the proposed research work and broadly disseminate the results. Future nanoscale Integrated Circuit (IC) subsystems, such as clock distributions, power delivery networks, embedded memory arrays, as well as analog and mixed-signal systems, may reach an unprecedented complexity involving billions of circuit components, making their modeling, analysis and verification tasks prohibitively expensive and intractable with existing EDA tools. On the other hand, emerging heterogeneous manycore computing systems, such as the manycore CPU-GPU computing platforms that integrate a few large yet power-consuming general purpose processors with massive number of much slimmer but more energy-efficient graphics processors, can theoretically delivery teraflops of computing power. The proposal aims to accelerate a paradigm shift in EDA research to more energy-efficient heterogeneous computing regimes. Towards this end, the PI will develop systematic hardware/software approaches to achieve scalable integrated circuit modeling, simulation and verifications by inventing heterogeneous CAD algorithms and data structures, as well as exploiting hardware-specific and domain-specific runtime performance modeling and optimization approaches.

该职业研究项目的目的是最好地释放出新出现的异质多核CPU-GPU计算平台的力量。这将需要彻底改变下一代电子设计自动化（EDA）工具，以应对涉及数十亿个组件的电路的前所未有的复杂性，从而使其建模，分析和验证任务可能过时，这些任务既昂贵又与当今使用的方法相处。这项研究中获得的经验也可能有助于在其他科学和工程领域的计算中进步，从而影响复杂的系统建模和模拟，计算流体动力学，社交计算和系统生物学等领域。 PI将促进本科生和代表性不足的学生研究以及K-12教育外展活动，以激励学生从事高级工程教育或在STEM领域的职业。此外，PI将将研究成果整合到本科和研究生课程发展中，并利用跨学科，工业和国际合作，以有效地促进拟议的研究工作并广泛传播结果。未来的纳米级集成电路（IC）子系统，例如时钟分布，电动输送网络，嵌入式内存阵列以及模拟和混合信号系统，可能达到了前所未有的复杂性，涉及数十亿个电路组件，使其建模，分析和验证任务非常昂贵，并且具有现有EDA工具的昂贵且可固定的。另一方面，新兴的异质多核计算系统，例如许多CPU-GPU计算平台，这些计算平台将一些大量但功能耗尽的通用处理器集成了具有大量较小但更节能的图形处理器的大量功能，理论上可以交付计算电源的电源。该提案旨在加快EDA研究的范式转变，以更节能的异质计算制度。为此，PI将开发系统的硬件/软件方法，通过发明异质CAD算法和数据结构以及利用硬件特异性和域特异性运行时性能建模和优化方法来实现可扩展的集成电路建模，仿真和验证。