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Synopsys and GLOBALFOUNDRIES Collaborate to Develop Broad Portfolio of ...

June 04, 2019 - High-quality DesignWare Interface and Analog IP Optimized for High Performance and Low Power in AI, Cloud Computing, and Mobile SoCs

FABU Selects DesignWare IP for Intelligent ADAS & Autonomous Driving SoCs

February 04, 2019 - Portfolio of Silicon-Proven IP Meets Artificial Intelligence Processing, Memory, Connectivity, and Security Requirements while Accelerating Automotive Functional Safety Assessments

Synopsys and TSMC Collaborate to Develop Portfolio of DesignWare IP for TSMC ...

October 03, 2018 - Successful Customer Tapeouts of DesignWare IP in N7+ Marks Significant Milestone of the Collaboration

LG Electronics Selects Synopsys HDMI 2.1 IP with HDCP 2.3 Content Protection ...

September 18, 2018 - Silicon-Proven DesignWare IP Enables Ultra-High-Definition 8K Video and High-Fidelity Audio in Multimedia SoCs

Synopsys Targets 400G Hyperscale Data Centers with High-Performance Ethernet IP

July 24, 2018 - DesignWare 56G Ethernet PHY Addresses the Reach and Performance Requirements of Next-Generation Leaf-Spine Network Architectures

Arbe Robotics Selects Synopsys' IP to Enable its High-Resolution Imaging ...

June 26, 2018 - Automotive-Ready DesignWare ARC EM6 Safety Island, EV Vision Processor, Ethernet QoS Controller, and Embedded Memory Test and Repair IP Accelerate ISO 26262 Certification of Radar Chipset

Synopsys Acquires Silicon and Beyond Private Limited to Expand High-Speed ...

March 21, 2018 - Acquisition Also Adds a Team of Highly Experienced R&D Engineers to Accelerate High-Speed SerDes IP Development

Synopsys Successfully Tapes Out Broad IP Portfolio for TSMC 7-nm FinFET Process

September 11, 2017 - DesignWare Foundation and Interface IP on TSMC 7-nm Process Technology Enables Faster Time-to-Market for Mobile, Automotive and High-Performance Computing SoCs

Synopsys Delivers Industry's First Multi-Protocol 25G PHY IP in 7-nm FinFET ...

May 22, 2017 - DesignWare PHY IP Cuts Power and Area by More Than 35 Percent for High-Performance Computing Applications Including Machine Learning and Artificial Intelligence