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Name: XC6VLX240T-3FFG784C
Brand: AMD Xilinx
SKU: XC6VLX240T-3FFG784C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC6VLX240T-3FFG784C

Part No.:: XC6VLX240T-3FFG784C

Manufacturer:: AMD Xilinx

Package:: 784-BBGA, FCBGA

Datasheet:: XC6VLX240T-3FFG784C.pdf

Description:: IC FPGA 400 I/O 784FCBGA

In Stock:: 3949

Quantity:: Add To Cart

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XC6VLX240T-3FFG784C Specifications

Package/Case:
784-BBGA, FCBGA
Packaging:
Tray
Series:
Virtex®-6 LXT
ProductStatus:
Active
NumberofLABs/CLBs:
18840
NumberofLogicElements/Cells:
241152
TotalRAMBits:
15335424
NumberofI/O:
400
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC6VLX240T-3FFG784C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC6VLX240T-3FFG784C price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for XC6VLX240T-3FFG784C to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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XC6VLX240T-3FFG784C information

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XC6VLX240T-3FFG784C application case analysis in emerging technology fields

XC6VLX240T-3FFG784C is a powerful FPGA (Field-Programmable Gate Array) device manufactured by Xilinx, known for its high performance and versatility in various applications. This analysis explores its utilization in enhancing efficiency and intelligence in a specific scenario.

Application Scenario:

In the domain of autonomous vehicles, the XC6VLX240T-3FFG784C FPGA plays a pivotal role in enabling advanced functionalities such as real-time sensor fusion, decision-making algorithms, and control systems.

System Architecture:

To leverage the capabilities of XC6VLX240T-3FFG784C effectively, the system architecture is designed to accommodate the following key components:

1. Sensor Integration:

Integrate various sensors such as LiDAR, radar, cameras, and ultrasonic sensors to gather real-time data about the vehicle's surroundings. Utilize the FPGA's high-speed interfaces and parallel processing capabilities to efficiently process sensor data streams.

2. Sensor Fusion:

Implement sensor fusion algorithms on the XC6VLX240T-3FFG784C FPGA to combine data from multiple sensors and generate a comprehensive understanding of the vehicle's environment. This includes object detection, localization, and tracking.

3. Decision-Making:

Develop intelligent decision-making algorithms using machine learning and artificial intelligence techniques. Utilize the FPGA's reconfigurability to adapt algorithms based on changing environmental conditions and driving scenarios.

4. Control Systems:

Implement robust control systems on the FPGA to ensure safe and efficient vehicle operation. This includes trajectory planning, obstacle avoidance, and vehicle dynamics control.

5. Communication:

Enable seamless communication between the FPGA-based autonomous system and other vehicle components such as actuators, ECUs (Electronic Control Units), and onboard computers. Utilize high-speed serial interfaces and protocols for reliable data exchange.

Benefits:

The integration of XC6VLX240T-3FFG784C FPGA in autonomous vehicles offers several advantages:

- Real-Time Processing: The FPGA's parallel processing architecture enables real-time analysis of sensor data, essential for quick decision-making in dynamic driving scenarios.

- Customizability: The reconfigurable nature of FPGAs allows for on-the-fly adjustments to algorithms and logic, facilitating rapid prototyping and optimization of autonomous systems.

- High Performance: The XC6VLX240T FPGA offers high computational throughput and low latency, ensuring responsive control and efficient utilization of system resources.

- Scalability: The FPGA-based architecture can scale to accommodate future enhancements and upgrades, making it a flexible platform for evolving autonomous vehicle technologies.

- Reliability: FPGAs are known for their robustness and resilience in harsh operating environments, contributing to the overall safety and reliability of autonomous vehicles.

Considerations:

When deploying XC6VLX240T-3FFG784C FPGA in autonomous vehicles, it's important to address the following considerations:

- Power Efficiency: Optimize FPGA configurations and algorithms to minimize power consumption and extend battery life in electric and hybrid vehicles.

- Functional Safety: Implement safety-critical features and redundancy mechanisms to ensure fail-safe operation and compliance with automotive safety standards such as ISO 26262.

- Security: Implement robust security measures to protect FPGA-based systems from cyber threats and unauthorized access, safeguarding sensitive data and vehicle control functions.

- Regulatory Compliance: Ensure that the FPGA-based autonomous system complies with relevant regulations and standards governing autonomous vehicle development and deployment.

- Testing and Validation: Conduct comprehensive testing and validation procedures to verify the performance, reliability, and safety of the FPGA-based autonomous system under various operating conditions and scenarios.

XC6VLX240T-3FFG784C FAQ

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(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

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