它无缝内嵌于 Innovus 数字实现和 Virtuoso Studio 定制设计流程中，其独有的 Smart View 数据库将传统提取文件体积缩小 7 倍、后仿真速度提升 10 倍，是确保复杂芯片流片成功率的核心 EDA 工具。
Cadence Design Systems, Inc. has released QUANTUS 25.10 (25.10.000) is the industry’s most trusted signoff parasitic extraction tool, and is a leader in 3nm design adoptions and tapeouts.
The Cadence Quantus Extraction Solution is a next-generation parasitic extraction tool for digital and custom/analog flows. Providing the fastest single-corner and multi-corner runtimes compared to competitive products, the tool features massively parallel architecture for performance and scalability across hundreds of CPUs. Its high-accuracy modeling engine delivers impeccable accuracy that has been silicon proven over thousands of tapeouts to support FinFET and all other designs. The Quantus Extraction Solution is tightly integrated with the Innovus Implementation System for digital designs and Virtuoso Studio for custom/analog designs. Quantus also offers Quantus Field Solver, a cloud-ready extraction tool delivering unmatched accuracy. In addition, the Quantus Extraction Solution is certified for all nodes at all other leading foundries.
The Quantus FS solution improves signoff parasitic extraction turnaround time for all types of designs, technology nodes. This 3D parasitic extraction tool is the first 3D field solver that is massively parallel, cloud ready, significantly improve performance while allowing designers to get accuracy.
Cadence is a pivotal leader in electronic design and computational expertise, using its Intelligent System Design strategy to turn design concepts into reality. Cadence customers are the world’s most creative and innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications.
Сopyright holder \ Distributor: Cadence
Product Name: Quantus Extraction Solution
Version: 25.10 (25.10.000) Base Release
Supported Architectures: x86_64
Website Home Page : http://www.cadence.com
Languages Supported: english
System Requirements: Linux *
Size in archive: 5.3 Gb
