Изображения являются только для ссылки
XCZU9EG-1FFVB1156I
+БОМIC SOC CORTEX-A53 1156FCBGA
-
ПроизводительAMD компанией
-
Мфр. Часть #XCZU9EG-1FFVB1156I
-
В наличии8610
365 Дни гарантии качества
7*24 часы обслуживания каранти
90-гарантия послепродажного дня
Гарантия подлинного продукта
Спецификации
| Атрибут | Ценность |
| Series | Zynq® UltraScale+™ MPSoC EG |
| Part Status | Active |
| Architecture | MCU, FPGA |
| Core Processor | Quad ARM® Cortex®-A53 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5 with CoreSight™, ARM Mali™-400 MP2 |
| RAM Size | 256KB |
| Peripherals | DMA, WDT |
| Connectivity | CANbus, EBI/EMI, Ethernet, I2C, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
| Speed | 500MHz, 600MHz, 1.2GHz |
| Primary Attributes | Zynq®UltraScale+™ FPGA, 599K+ Logic Cells |
| Operating Temperature | -40°C ~ 100°C (TJ) |
| Package / Case | 1156-BBGA, FCBGA |
| Supplier Device Package | 1156-FCBGA (35x35) |
| Base Product Number | XCZU9 |
Обзор
Description
Key features include:
- FPGA Integration: It includes a configurable FPGA for custom hardware acceleration.
- High-Speed Interfaces: Supports various interfaces such as PCIe, Ethernet, and USB for connectivity.
- Memory Support: Compatible with DDR4 memory for high-bandwidth data processing.
- Power Efficiency: Designed for low power consumption while maintaining high performance.
The XCZU9EG is suitable for complex applications requiring both software flexibility and hardware efficiency, leveraging its heterogeneous computing capabilities. It is often employed in embedded systems, machine learning, and real-time data processing applications.
Equivalent
Features
- Processing System: 4 x ARM Cortex-A53 cores, 2 x Cortex-R5 cores for real-time applications.
- FPGA Fabric: Over 1 million logic cells, supporting extensive customization and parallel processing.
- Memory Interfaces: Supports DDR4 memory with a wide data bus for high bandwidth.
- Connectivity: Multiple high-speed I/O options, including PCIe, Gigabit Ethernet, and USB.
- DSP Resources: Built-in DSP slices for efficient processing of digital signals.
- Advanced Security: Features hardware security capabilities for secure boot and data protection.
- High Performance: Designed for applications requiring high computational power, such as automotive, industrial, and communications.
This SoC is ideal for applications needing both software programmability and hardware flexibility.
Pinout
1. Processing System (PS): It integrates a dual-core ARM Cortex-A53 processor and a real-time ARM Cortex-R5 processor, along with programmable logic.
2. Programmable Logic (PL): The device contains a large array of programmable logic resources, including configurable logic blocks (CLBs), digital signal processing (DSP) slices, and block RAM.
3. High-Speed Interfaces: It supports various high-speed I/O interfaces, such as PCIe, USB, and Ethernet.
4. Flexible I/O: The device includes numerous GPIOs and can be configured for multiple standard protocols.
This combination of features makes the XCZU9EG-1FFVB1156I suitable for a wide range of applications, including communications, automotive, and industrial systems.
Manufacturer
Xilinx's products are widely used in various applications such as telecommunications, automotive, aerospace, defense, industrial automation, and data centers. The XCZU9EG-1FFVB1156I specifically belongs to the Zynq UltraScale+ family, which integrates a high-performance FPGA fabric with ARM-based processing cores, allowing for versatile and efficient design solutions.
Founded in 1984, Xilinx has played a pivotal role in the evolution of programmable logic technology and continues to innovate and expand its product offerings to meet the growing demands of modern electronic systems. The company is known for its commitment to providing flexible and high-performance solutions, enabling engineers and designers to create complex systems more efficiently.
Application
1. Telecommunications: Used in 5G infrastructure for baseband processing and radio unit control.
2. Automotive: Applications in advanced driver-assistance systems (ADAS) and autonomous driving platforms.
3. Industrial Automation: Implementation in robotics, machine vision, and factory automation systems.
4. Aerospace and Defense: Suitable for signal processing, radar systems, and secure communications.
5. Machine Learning: Deployed in edge AI applications for real-time data processing and inference.
Its versatility makes it ideal for high-performance computing tasks across multiple sectors.