一个技术不可知的仿真环境(TASE)迭代定制集成电路设计的过程

Satyanand Nalam, M. Bhargava, Kyle Ringgenberg, K. Mai, B. Calhoun
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引用次数: 4

摘要

设计师对定制电路设计的关键问题和权衡的意图和知识隐含在她为设计创建和验证设置的模拟中。然而,这些知识与特定于技术的特性紧密结合,并与传统设计流程中的最终原理图分离。因此,当技术细节发生变化时,这些知识很容易丢失。本文提出了一个与技术无关的仿真环境(TASE),它是一个工具,使用仿真模板来捕获设计人员的知识,并将其与仿真的特定技术组件分离。TASE还允许设计者形成相关的模拟组,并将它们作为一个单元移植到新技术上。这允许实际的设计原理图与阐明潜在权衡和设计问题的分析保持联系,而不像单独移植原理图的情况。让设计人员能够立即获得可能在新技术中发生变化的权衡,从而加速了通常伴随复杂定制电路移植而必须进行的重新设计。通过研究预测技术中6T SRAM的读写噪声裕度,我们证明了TASE的实用性。
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A Technology-Agnostic Simulation Environment (TASE) for iterative custom IC design across processes
A designer's intent and knowledge about the critical issues and trade-offs underlying a custom circuit design are implicit in the simulations she sets up for design creation and verification. However, this knowledge is tightly conjoined with technology-specific features and decoupled from the final schematic in traditional design flows. As a result, this knowledge is easily lost when the technology specifics change. This paper presents a Technology Agnostic Simulation Environment (TASE), which is a tool that uses simulation templates to capture the designer's knowledge and separate it from the technology-specific components of a simulation. TASE also allows the designer to form groups of related simulations and port them as a unit to a new technology. This allows an actual design schematic to remain tied to the analyses that illuminate the underlying trade-offs and design issues, unlike the case where schematics are ported alone. Giving the designer immediate access to the trade-offs, which are likely to change in new technologies, accelerates the re-design that often must accompany porting of complicated custom circuits. We demonstrate the usefulness of TASE by investigating Read and Write noise margins for a 6T SRAM in predictive technologies down to 16 nm.
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Empirical performance models for 3T1D memories A novel SoC architecture on FPGA for ultra fast face detection A Technology-Agnostic Simulation Environment (TASE) for iterative custom IC design across processes Low-overhead error detection for Networks-on-Chip Interconnect performance corners considering crosstalk noise
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