XCZU5EV-2SFVC784I

Product Overview

Category

XCZU5EV-2SFVC784I belongs to the category of Field Programmable Gate Arrays (FPGAs).

Use

This FPGA is designed for various applications that require high-performance processing, such as data centers, artificial intelligence, machine learning, and advanced driver-assistance systems.

Characteristics

• High-performance processing capabilities
• Versatile and flexible design
• Low power consumption
• Advanced connectivity options
• Scalable architecture

Package

XCZU5EV-2SFVC784I comes in a compact package that ensures easy integration into different electronic systems. The package includes the FPGA chip, documentation, and necessary support materials.

Essence

The essence of XCZU5EV-2SFVC784I lies in its ability to provide efficient and customizable solutions for complex computational tasks. It offers a wide range of features and functionalities that cater to diverse application requirements.

Packaging/Quantity

XCZU5EV-2SFVC784I is typically packaged individually and is available in various quantities depending on the customer's needs.

Specifications

• FPGA Family: Zynq UltraScale+ MPSoC
• Device: XCZU5EV
• Logic Cells: 504K
• DSP Slices: 1,728
• Memory: 38.5 Mb
• Transceivers: 16
• Maximum I/Os: 784
• Operating Voltage: 0.95V - 1.05V
• Package Type: FCBGA
• Temperature Range: -40°C to +100°C

Detailed Pin Configuration

For a detailed pin configuration of XCZU5EV-2SFVC784I, please refer to the official documentation provided by the manufacturer.

Functional Features

XCZU5EV-2SFVC784I offers the following functional features:

• High-speed processing capabilities
• Integrated ARM Cortex-A53 processor cores
• Programmable logic cells for custom designs
• Advanced memory interfaces
• High-bandwidth transceivers for data communication
• Support for various communication protocols
• Flexible clocking options
• On-chip power management

Advantages and Disadvantages

Advantages

• High-performance processing suitable for demanding applications
• Versatile and flexible design allows customization
• Low power consumption for energy-efficient operation
• Extensive connectivity options for seamless integration
• Scalable architecture enables future expansion

Disadvantages

• Relatively high cost compared to other FPGA options
• Steeper learning curve for inexperienced users
• Complex design flow may require additional expertise

Working Principles

XCZU5EV-2SFVC784I operates based on the principles of field-programmable gate arrays. It consists of programmable logic cells, memory elements, and various I/O interfaces. The programmable logic cells can be configured to implement desired digital circuits, while the memory elements store the configuration data. The I/O interfaces facilitate communication with external devices.

The FPGA's working principle involves configuring the logic cells and interconnections using a hardware description language (HDL) or a graphical design tool. Once programmed, the FPGA executes the desired functionality by routing signals through the configured logic cells.

Detailed Application Field Plans

XCZU5EV-2SFVC784I finds applications in various fields, including:

1. Data Centers: Used for high-performance computing tasks, data processing, and network acceleration.
2. Artificial Intelligence: Enables AI algorithms and neural networks to run efficiently, supporting tasks like image recognition and natural language processing.
3. Machine Learning: Provides the computational power required for training and inference in machine learning models.
4. Advanced Driver-Assistance Systems (ADAS): Used in automotive applications for real-time image processing, sensor fusion, and decision-making algorithms.

Detailed and Complete Alternative Models

1. XCZU7EV-2SFVC784I: A higher-performance FPGA with increased logic cells and memory capacity.
2. XCZU3EG-1SFVC784I: A lower-cost option with reduced logic cells and transceivers, suitable for less demanding applications.
3. XCZU9EG-2SFVC900I: An FPGA with enhanced capabilities, including more transceivers and higher I/O count.

These alternative models provide a range of options to suit different application requirements and budget constraints.

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