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Name: XCKU15P-1FFVE1760E
Brand: AMD Xilinx
SKU: XCKU15P-1FFVE1760E
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCKU15P-1FFVE1760E

Part No.:: XCKU15P-1FFVE1760E

Manufacturer:: AMD Xilinx

Package:: 1760-BBGA, FCBGA

Datasheet:: XCKU15P-1FFVE1760E.pdf

Description:: IC FPGA 668 I/O 1760FCBGA

In Stock:: 2698

Quantity:: Add To Cart

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XCKU15P-1FFVE1760E Specifications

Package/Case:
1760-BBGA, FCBGA
Packaging:
Tray
Series:
Kintex® UltraScale+™
ProductStatus:
Active
NumberofLABs/CLBs:
65340
NumberofLogicElements/Cells:
1143450
TotalRAMBits:
82329600
NumberofI/O:
668
NumberofGates:
-
Voltage-Supply:
0.825V ~ 0.876V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 100°C (TJ)

XCKU15P-1FFVE1760E this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCKU15P-1FFVE1760E 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-1FFVE1760E 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-1FFVE1760E information

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XCKU15P-1FFVE1760E application case analysis in emerging technology fields

XCKU15P-1FFVE1760E is a high-performance field-programmable gate array (FPGA) manufactured by Xilinx, offering a wide range of features and capabilities for advanced digital designs.

Application Scenario:

In autonomous vehicles, XCKU15P-1FFVE1760E can be utilized to process sensor data in real-time, enabling intelligent decision-making and control for navigation, obstacle detection, and path planning.

System Architecture:

To implement autonomous driving capabilities using XCKU15P-1FFVE1760E, the following architecture can be adopted:

1. Sensor Integration:

Integrate various sensors such as LiDAR, cameras, and radar onto the vehicle to capture environmental data. Interface these sensors with XCKU15P-1FFVE1760E through suitable interfaces like MIPI CSI-2 or Ethernet.

2. Sensor Fusion:

Utilize FPGA resources to fuse data from multiple sensors to create a comprehensive understanding of the vehicle's surroundings. Implement algorithms for sensor fusion, including Kalman filtering and Bayesian inference, to generate accurate perception outputs.

3. Decision Making:

Implement decision-making algorithms on XCKU15P-1FFVE1760E to analyze sensor data and determine appropriate actions such as steering, acceleration, and braking. Use techniques like neural networks and machine learning for complex decision-making tasks.

4. Control:

Utilize the FPGA's high-speed processing capabilities to execute control algorithms in real-time. Implement PID controllers, model predictive control, or reinforcement learning algorithms to achieve precise vehicle control and stability.

5. Communication:

Establish communication links between XCKU15P-1FFVE1760E and other vehicle subsystems such as the CAN bus for exchanging control commands and sensor data. Utilize high-speed serial interfaces like PCIe or Ethernet for inter-processor communication in distributed systems.

Advantages:

Utilizing XCKU15P-1FFVE1760E in autonomous vehicles offers several advantages:

- High Performance: The FPGA's parallel processing architecture enables fast and efficient computation of complex algorithms, essential for real-time applications like autonomous driving.

- Flexibility: FPGA-based designs are highly configurable and can be adapted to evolving requirements and sensor configurations in autonomous vehicles.

- Customization: Designers can implement custom hardware accelerators and optimizations tailored to specific autonomous driving tasks, improving overall system performance and efficiency.

- Reliability: FPGAs offer inherent redundancy and fault tolerance features, enhancing the reliability and safety of autonomous vehicle systems.

- Scalability: Xilinx FPGAs like XCKU15P-1FFVE1760E offer scalability to support varying levels of autonomy, from driver assistance systems to fully autonomous operation, catering to different vehicle platforms and applications.

XCKU15P-1FFVE1760E FAQ

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3. Are the XCKU15P-1FFVE1760E price and inventory displayed accurate?

The price and inventory of XCKU15P-1FFVE1760E 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-1FFVE1760E?

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-1FFVE1760E we delivered, we will accept the replacement or return of the XCKU15P-1FFVE1760E 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-1FFVE1760E.

(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