M2S100T-FC1152

This SoC is built on ARM? Cortex?-M3 core processor(s).

This SoC is built on ARM? Cortex?-M3 core processor(s).Assigned with the package 1152-BBGA, FCBGA, this system on a chip comes from the manufacturer.This SoC chip is equipped with 64KB RAM and guarantees reliable performance to the user.A MCU, FPGA technique is used for the SoC design's internal architecture.In the SmartFusion?2 series, this system on chip SoC is included.This SoC meaning should have an average operating temperature of 0°C~85°C TJ when it is operating normally.One important thing to mark down is that this SoC meaning combines FPGA - 100K Logic Modules.In the state-of-the-art Tray package, this SoC system on a chip is housed.In total, this SoC part has 574 I/Os.As a rule of thumb, it is advised to use a power supply with a value of 1.2V.It is considered hazardous to operate the SoCs wireless with a voltage higher than 1.26V.As a minimum, the power supply of the SoC system on a chip needs to be 1.14V.You can reconfigure FIELD PROGRAMMABLE GATE ARRAY to meet your specific design needs.Similar to other high-quality Field Programmable Gate Arrays, it is also endowed with a remarkable system on a chip capability.It is possible to use this SoC chip with 574 outputs.In order to use system on chip, you will need a power supply of 1.2V.This SoC chip is equipped with 574 inputs for the user to choose from.Logic system on chips features 99512 logic cells.This flash has a size of 512KB.It is possible to find system on chips that are similar in specs and purpose by searching for M2S100T.In this wireless SoC, the frequency is set to 166MHz.In this SoC meaning, ARM serves as the core architecture.

ARM? Cortex?-M3 processor.

64KB RAM.
Built on MCU, FPGA.
512KB extended flash.
Core Architecture: ARM

There are a lot of Microsemi Corporation

M2S100T-FC1152 System On Chip (SoC) applications.

• Efficient hardware for inference of neural networks
• Wireless networking
• Mouse
• Remote control
• sequence controllers
• Efficient hardware for training of neural networks
• Special Issue Information
• Functional safety for critical applications in the aerospace
• Robotics
• Industrial automation devices