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NYI: Performance Optimization in Layout and Logic Synthesis of VLSI Systems

NYI: Performance Optimization in Layout and Logic Synthesis of VLSI Systems
NYI:VLSI 系统布局和逻辑综合的性能优化
批准号:
9357582
负责人:
Jason Cong
金额:
$32.25万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-09-01 至 2001-08-31

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中文摘要
翻译
本研究探讨了性能驱动的方法和有效算法, 高速、高复杂度VLSI系统的布局设计和逻辑综合。 的 性能驱动版图的研究主要集中在互连设计过程,包括 开发精确的互连模型,从而实现有效的布局 优化算法,用于电路划分和聚类的有效算法, 互连驱动布图规划和布局,具有缓冲器的互连拓扑设计 插入、同时的器件和互连尺寸以及时钟布局优化。 的 性能驱动逻辑综合的研究主要集中在综合和映射方面 用于现场可编程门阵列(FPGA),包括最佳或接近最佳 结构和功能门分解算法,最小延迟技术 技术映射中的延迟和面积的映射折衷,组合重定时, 技术映射和时钟周期最小化的重新合成,以及自动 流水线
英文摘要
This research investigated methodologies and efficient algorithms for performance-driven layout design and logic synthesis of high-speed, high-complexity VLSI systems. The research on performance-driven layout focuses on interconnect design process, including the development of accurate interconnect models which enable efficient layout optimization algorithms, efficient algorithms for circuit partitioning and clustering , interconnect-driven floorplan and placement, interconnect topology design with buffer insertin, simultaneous device and interconnect sizing, and clock layout optimization. The research on performance-driven logic synthesis mainly focus on synthesis and mapping for field-programmable gate-arrays (FPGAs), including optimal or near-optimal algorithms for structural and functional gate decomposition, minimum-delay technology mapping trade-off of delay and area in technology mapping, combined retiming, technology mapping, and resynthesis for clock period minimization, and automatic pipelining.
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Collaborative Research: FET: Medium: Efficient Compilation for Dynamically Reconfigurable Atom Arrays
SHF: Medium: Automating High Level Synthesis via Graph-Centric Deep Learning
RTML: Large: Acceleration to Graph-Based Machine Learning
CAPA: Collaborative Research: A Multi-Paradigm Programming Infrastructure for Heterogeneous Architectures
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