Microchip Live | Based on PolarFire ® AMP Solution of SoC FPGA

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The fourth industrial revolution (i.e. Industry 4.0) has opened a new era of innovation and development, and its advanced applications need Linux ^® The flexibility of the operating system (OS) and the certainty of the real-time system control the hardware. The typical symmetric multiprocessing (SMP) implementation ensures the flexibility of the operating system, but it is not enough to develop deterministic real-time systems. Competitive products that implement asymmetric multiprocessing (AMP) generally adopt complex multi cluster architecture, which brings many design challenges.

PolarFire ^® SoC FPGA includes a CPU core complex, including a monitoring core and four application cores. The application kernel supports multiple AMP configurations and is suitable for different applications, such as real-time response, security and personal safety requirements. The AMP application on the PolarFire SoC FPGA can realize a high-performance, hard real-time system with a certain execution time; It also provides a simpler architecture than competitive products, providing an efficient and reliable platform for today's safety critical factory automation and industrial control applications.

Based on PolarFire ^® Microchip Asymmetric Multiprocessing (AMP) Solution for SoC FPGA

10:30-11:30 am, June 25, 2024 (Tuesday)

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Zhang Yinfeng, Senior Application Engineer of Microchip Technology Inc

Faye Zhang is now a senior application engineer in the Shanghai branch of Microchip Technology Inc. She joined Microchip in 2023 and has more than ten years of work experience in the consumer electronics industry. Prior to this, she worked in Anhui East China Optoelectronic Technology Research Institute and Kunshanqiu Titanium Microelectronics Technology Co., Ltd. in FPGA development.

Zhang Yinfeng has rich R&D and application experience in video signal processing and transmission. She is currently responsible for the application and promotion of FPGA products in Microchip.

Zhang Yinfeng graduated from Shaanxi Normal University in 2010 with a master's degree in signal and information processing.

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