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Samsung electronics extension 3-8 nm technology design of semiconductor IP: meet the demand of artificial intelligence and automatic driving

2023-06-15      分类:行业动态

According to local media reports, 14, samsung electronics wafer foundry department announced that will work with Synopsys, Cadence, Alpha Wave Semi cooperation, expand the wafer foundry that can be used in the process of IP number.

Samsung electronics explained that through this cooperation, samsung will have all of its business areas needed for the core intellectual property portfolio, including artificial intelligence, graphics processing unit (GPU), high performance computing (HPC), automotive semiconductor (cars), and mobile. This includes from 3 nm to 8 nm samsung foundry process to use dozens of IP.

When samsung electronics to IP partners with advanced IP development needed to process information, such as process design package (PDK), and design method (DM), IP partners will develop for samsung Foundry optimized IP and provide it to customers without fabs. This is a kind of based on advanced IP, to promote synergy between fabless semiconductor design company and manufacturers foundry pattern.

Especially in samsung electronics and partners to jointly develop cutting-edge memory required for high speed input/output interface IP (PCIe, Sudes, Pi) and chiplets high-tech encapsulate IP (UCIe), a leading position in the market. Future will also ensure that meet the reliability and stability of the standard car IP. This was interpreted as the car to the development of electric vehicles and automatic driving a car, need like PC computing performance, samsung semiconductor demand response car will.

Samsung plans by expanding its IP combined ecological system, and strengthen cooperation in a timely manner to the domestic and foreign semiconductor wafer fabs customers free plant optimization of IP. In this way, is expected to reduce errors from the design of the initial stage, and to reduce from prototyping and verification to the whole life cycle of production, cost and time.


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