Samsung and Arm Cooperate to Develop High Performance Computing Solutions

Samsung Electronics, a world leader in advanced semiconductor technology, announced today that its strategic alliance with Arm will be expanded.
It is stated that the existing collaboration of the two technology giants will be extended to 7/5-nanometer (nm) FinFET process technology. Arm is the industry’s leading supplier of physical IP and processor application solutions to meet performance, power and cost requirements for all application markets. Samsung, as you know, is a leader in many industries.

Based on Samsung Foundry’s 7LPP (7nm Low Power Plus) and 5LPE (5nm Low Power Early) processing technology, Arm Artisan physical IP platform provides 3GHz + processing performance for Arm’s Cortex®-A76 processor. Samsung’s 7LPP processing technology will be ready for production in the second half of 2018. The first extreme ultra violet (EUV) lithography processing technology and basic IPs are under development and are expected to be completed in the first half of 2019.

Samsung’s 5LPE technology will provide more field scalability and ultra-low power advantages due to the latest innovations in 7LPP process technology. Samsung’s Arm Artisan physical IP platform for 7LPP and 5LPE includes HD logic architecture, a comprehensive suite of memory compilers, and 1.8V and 3.3V GPIO libraries. In addition, Samsung announced that it will offer Artisan POP IP solutions for the latest processor core with Arm, Arm DynamIQ technology for 7LPP and 5LPE processing technologies.

Arm’s POP IP solution is a core hardening acceleration technology that provides the best Arm processor implementations and the fastest market. Ryan Sanghyun Lee, vice president of Samsung Electronics Foundry Marketing Team, used the statement “We need to create a comprehensive and different design ecosystem for our casting customers.” It is also stated that Collaboration with Arm is very important in the field of IP solutions in order to increase the high performance computing power and speed up the growth of artificial intelligence learning capabilities.