XC7Z015-2CLG485E

This SoC is built on Dual ARM? Cortex?-A9 MPCore? with CoreSight? core processor(s).

A core processor(s) Dual ARM? Cortex?-A9 MPCore? with CoreSight? is integrated into this SoC.According to the manufacturer, this system on a chip has a package of 484-LFBGA, CSPBGA.Users will enjoy reliable performance with this SoC chip, which has implemented 256KB RAM.As far as its internal architecture is concerned, this SoC design employs the MCU, FPGA technique.The system on a chip is part of the series Zynq?-7000.As a rule of thumb, the average operating temperature for this SoC meaning should be 0°C~100°C TJ.One important thing to mark down is that this SoC meaning combines Artix?-7 FPGA, 74K Logic Cells.It comes in a state-of-the-art Tray package.As a whole, this SoC part is comprised of 130 inputs and outputs.Ideally, a power supply with a voltage of 1V should be used.In the SoCs wireless, high voltages above 1.05V are considered dangerous and should not be used.Power supply should be at least 0.95V.In total, there are 485 terminations, which is great for system on a chip.Just like other high-quality Other Microprocessor ICs will do, it is of outstanding system on a chip capability.A power supply of 11.8V is required.The SoC meaning uses MICROPROCESSOR CIRCUIT as its interface with the peripheral ICs and uPs.The wireless SoC works at a frequency of 766MHz.Based on the core architecture of ARM, the SoC meaning has a high level of performance.Aside from that, this SoC processor is also equipped with some additional features that are present in PL BLOCK OPERATES IN 0.97V TO 1.03V SUPPLY.In this computer SoC, there are 485 pins.

Dual ARM? Cortex?-A9 MPCore? with CoreSight? processor.

256KB RAM.
Built on MCU, FPGA.
MICROPROCESSOR CIRCUIT
Core Architecture: ARM
PL BLOCK OPERATES IN 0.97V TO 1.03V SUPPLY

There are a lot of Xilinx Inc.

XC7Z015-2CLG485E System On Chip (SoC) applications.

• Optical drive
• Smartphones
• Medical Pressure
• Video Imaging
• Cyber security for critical applications in the aerospace
• Defense
• Sensor network-on-chip (sNoC)
• Medical
• Efficient hardware for training of neural networks
• Keywords