XCZU4CG-1SFVC784E Allicdata Electronics
Allicdata Part #:

XCZU4CG-1SFVC784E-ND

Manufacturer Part#:

XCZU4CG-1SFVC784E

Price: $ 0.00
Product Category:

Integrated Circuits (ICs)

Manufacturer: Xilinx Inc.
Short Description: IC FPGA 252 I/O 784FCBGA
More Detail: Dual ARM® Cortex®-A53 MPCore™ with CoreSight™, Dua...
DataSheet: XCZU4CG-1SFVC784E datasheetXCZU4CG-1SFVC784E Datasheet/PDF
Quantity: 1000
Stock 1000Can Ship Immediately
Specifications
Series: Zynq® UltraScale+™ MPSoC CG
Packaging: Tray 
Part Status: Active
Architecture: MCU, FPGA
Core Processor: Dual ARM® Cortex®-A53 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5 with CoreSight™
Flash Size: --
RAM Size: 256KB
Peripherals: DMA, WDT
Connectivity: CANbus, EBI/EMI, Ethernet, I²C, MMC/SD/SDIO, SPI, UART/USART, USB OTG
Speed: 500MHz, 1.2GHz
Primary Attributes: Zynq®UltraScale+™ FPGA, 192K+ Logic Cells
Operating Temperature: 0°C ~ 100°C (TJ)
Package / Case: 784-BBGA, FCBGA
Supplier Device Package: 784-FCBGA (23x23)
Number of I/O: 252
Description

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Embedded System On Chip (SoC) is a type of integrated circuit (IC) that contains a processor, memory and other support logic on a single microchip. It has become a key component of embedded systems and is widely used in a variety of applications. Among its many uses are low-cost, low-power consuming embedded systems such as cell phones, smart refrigerators and baby monitors. The XCZU4CG-1SFVC784E is a SoC that packs a wide range of features on the same chip.

The XCZU4CG-1SFVC784E is an all-programmable, single-core, integrated FPGA SoC. The FPGA SoC is a combination of a programmable logic fabric and an embedded microprocessor that fall within the same package. It enables designers to optimize the design for power, performance or connectivity. It includes a Cortex-A53 MPCore processor, integrated application accelerators, up to 576K 7-series FPGA logic cells and built-in memory resources including URAM, LPDDR4 and DDRx. It supports Multi-OS support, allowing real-time processors running Linux or FreeRTOS to interleave with hardware accelerators.

The XCZU4CG-1SFVC784E is suitable for a variety of applications. It is especially useful for embedded computing, data acquisition and control applications that require low power consumption and increased coding efficiency. It can be used in automotive, aerospace, and medical applications to provide real-time processing capabilities. It can also be used in industrial automation and smart energy applications to provide control and monitor functions. The XCZU4CG-1SFVC784E also has enough speed and power to carry out high-performance embedded vision applications.

The key feature of the XCZU4CG-1SFVC784E is its flexibility and scalability. It enables designers to optimize their designs for power, performance, or connectivity. The chip contains a microprocessor and logic fabric that are tightly coupled and can be programmed and reprogrammed as needed. The built-in memory, integrated application accelerators, and high-level design tools enable the design of complex systems in a product-focused manner.

The working principle of XCZU4CG-1SFVC784E is simple. The processor runs instructions written in software that controls the logic fabric. The logic fabric consists of 7-series FPGA logic cells and other elements such as interconnects and built-in memory. It can be programmed to execute instructions which are used to control and monitor various components or functions in the embedded system. This means that the system can be tailored to meet the embedded system\'s exact needs for power, performance, or connectivity.

The XCZU4CG-1SFVC784E is an integrated FPGA SoC designed for embedded systems that require low power consumption and increased coding efficiency. Its flexibility and scalability make it suitable for applications such as automotive, aerospace and medical applications. Its simple working principle enables designers to create complex systems with a product-focused approach. With its rich feature-set, the XCZU4CG-1SFVC784E is a great choice for embedded system designers.

The specific data is subject to PDF, and the above content is for reference

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