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Name: XCKU15P-2FFVE1517E
Brand: AMD Xilinx
SKU: XCKU15P-2FFVE1517E
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCKU15P-2FFVE1517E

Part No.:: XCKU15P-2FFVE1517E

Manufacturer:: AMD Xilinx

Package:: 1517-BBGA, FCBGA

Datasheet:: XCKU15P-2FFVE1517E.pdf

Description:: IC FPGA 512 I/O 1517FCBGA

In Stock:: 3758

Quantity:: Add To Cart

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XCKU15P-2FFVE1517E Specifications

Package/Case:
1517-BBGA, FCBGA
Packaging:
Tray
Series:
Kintex® UltraScale+™
ProductStatus:
Active
NumberofLABs/CLBs:
65340
NumberofLogicElements/Cells:
1143450
TotalRAMBits:
82329600
NumberofI/O:
512
NumberofGates:
-
Voltage-Supply:
0.825V ~ 0.876V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 100°C (TJ)

XCKU15P-2FFVE1517E this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCKU15P-2FFVE1517E 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 XCKU15P-2FFVE1517E 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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XCKU15P-2FFVE1517E information

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XCKU15P-2FFVE1517E application case analysis in emerging technology fields

XCKU15P-2FFVE1517E is a high-performance field-programmable gate array (FPGA) with advanced features, commonly used in applications requiring rapid prototyping, acceleration, and customization.

Application Scenario:

In the field of autonomous vehicles, XCKU15P-2FFVE1517E can be utilized to implement complex algorithms for real-time perception, decision-making, and control, enhancing the efficiency and intelligence of the vehicle system.

System Architecture:

To develop an autonomous vehicle system using XCKU15P-2FFVE1517E, the following components and functionalities can be integrated:

1. Sensor Fusion:

Integrate various sensors such as LiDAR, radar, cameras, and ultrasonic sensors to gather environmental data. Utilize the programmable logic resources of XCKU15P-2FFVE1517E to perform sensor fusion algorithms, combining data from multiple sensors for accurate perception of the vehicle's surroundings.

2. Decision-Making:

Implement decision-making algorithms within the FPGA, leveraging its parallel processing capabilities for rapid analysis of sensor data and generation of optimal control commands. These algorithms can include obstacle avoidance, path planning, and trajectory optimization.

3. Control System:

Utilize the programmable logic and embedded processors of XCKU15P-2FFVE1517E to implement control algorithms for vehicle dynamics, such as adaptive cruise control, lane keeping, and collision avoidance. These algorithms ensure safe and efficient operation of the autonomous vehicle.

4. Communication:

Enable communication interfaces such as Ethernet, CAN bus, and UART to facilitate data exchange with external sensors, actuators, and the vehicle's onboard computer. Configure the FPGA's I/O pins for reliable communication and high-speed data transfer.

5. Integration with Perception Systems:

Integrate the FPGA with perception systems, such as deep learning accelerators or image processing pipelines, to enhance the vehicle's ability to recognize objects, pedestrians, and traffic signs. This integration improves the intelligence and responsiveness of the autonomous driving system.

Considerations:

When designing the autonomous vehicle system, it's crucial to consider:

- Real-Time Performance: Ensure that the FPGA algorithms meet stringent timing requirements for real-time perception and control.

- Power Efficiency: Optimize the FPGA design to minimize power consumption, prolonging the vehicle's battery life and reducing thermal management challenges.

- Safety and Reliability: Implement safety mechanisms and redundancy features to ensure fail-safe operation of the autonomous vehicle system, especially in critical situations.

- Scalability and Flexibility: Design the system architecture to be scalable and flexible, allowing for future upgrades and customization to adapt to evolving autonomous driving technologies.

- Compliance with Regulations: Ensure that the autonomous vehicle system complies with regulatory standards and industry guidelines for safety, cybersecurity, and data privacy.

XCKU15P-2FFVE1517E FAQ

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3. Are the XCKU15P-2FFVE1517E price and inventory displayed accurate?

The price and inventory of XCKU15P-2FFVE1517E fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.

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Warm Tips: It may take up to 24 hours for the carriers to display tracking information. Usually, express delivery takes 3-5 days, and registered mail takes 25-60 days.

6. What is the process for return or replacement of XCKU15P-2FFVE1517E?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the XCKU15P-2FFVE1517E we delivered, we will accept the replacement or return of the XCKU15P-2FFVE1517E only when all of the below conditions are fulfilled:

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

(2)We are informed of the defect described above within 90 days after the delivery of XCKU15P-2FFVE1517E.

(3)The PartNo is unused and only in the original unpacked packaging.

Two processes to return the products:

(1)Inform us within 90 days

(2)Obtain Requesting Return Authorizations