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Name: XCKU15P-1FFVE1760I
Brand: AMD Xilinx
SKU: XCKU15P-1FFVE1760I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCKU15P-1FFVE1760I

Part No.:: XCKU15P-1FFVE1760I

Manufacturer:: AMD Xilinx

Package:: 1760-BBGA, FCBGA

Datasheet:: XCKU15P-1FFVE1760I.pdf

Description:: IC FPGA 668 I/O 1760FCBGA

In Stock:: 3608

Quantity:: Add To Cart

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XCKU15P-1FFVE1760I 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:
-40°C ~ 100°C (TJ)

XCKU15P-1FFVE1760I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCKU15P-1FFVE1760I 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-1FFVE1760I 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-1FFVE1760I information

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XCKU15P-1FFVE1760I application case analysis in emerging technology fields

XCKU15P-1FFVE1760I is a high-capacity field-programmable gate array (FPGA) manufactured by Xilinx, featuring advanced capabilities for accelerating complex computations and enabling intelligent applications.

Application Scenario:

In autonomous vehicles, XCKU15P-1FFVE1760I can be utilized to process sensor data in real-time, enabling intelligent decision-making and precise control for navigation and collision avoidance.

System Architecture:

To implement autonomous navigation using XCKU15P-1FFVE1760I, the following components and functionalities can be incorporated:

1. Sensor Fusion:

Integrate various sensors, such as LiDAR, radar, and cameras, to capture comprehensive environmental data. Utilize the FPGA's high-speed interfaces and parallel processing capabilities to fuse sensor inputs and generate a unified perception of the vehicle's surroundings.

2. Object Detection and Tracking:

Deploy deep learning algorithms on XCKU15P-1FFVE1760I to detect and track objects in real-time. Utilize the FPGA's reconfigurability to optimize neural network architectures and accelerate inference tasks, ensuring rapid and accurate identification of pedestrians, vehicles, and obstacles.

3. Path Planning and Control:

Implement algorithms for path planning and trajectory generation based on the fused sensor data. Utilize the FPGA's parallel processing capabilities to compute optimal navigation paths and dynamically adjust vehicle control inputs, such as steering and acceleration, to navigate complex urban environments safely and efficiently.

4. Communication and Integration:

Establish communication interfaces, such as Ethernet or CAN bus, to exchange data with other vehicle subsystems and external systems, such as GPS receivers and traffic management infrastructure. Utilize the FPGA's flexible I/O capabilities to interface with diverse communication protocols and ensure seamless integration into the vehicle's electronic architecture.

5. Redundancy and Safety:

Implement redundancy mechanisms and fault-tolerant algorithms on XCKU15P-1FFVE1760I to enhance system reliability and safety. Utilize the FPGA's partial reconfiguration capabilities to dynamically reassign resources and bypass faulty components, ensuring continuous operation and mitigating the impact of hardware failures.

Considerations:

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

- Real-Time Performance: Optimize FPGA algorithms and resource utilization to meet stringent real-time requirements for sensor data processing and control.

- Power Efficiency: Implement power management strategies to minimize energy consumption and extend the vehicle's operating range on battery power.

- Functional Safety: Ensure compliance with automotive safety standards, such as ISO 26262, and implement safety mechanisms, such as functional redundancy and error detection, to mitigate the risk of system failures and ensure safe operation in diverse operating conditions.

- Scalability and Upgradability: Design the system with scalability in mind to accommodate future hardware and software upgrades, leveraging the FPGA's reconfigurability to adapt to evolving requirements and technologies.

XCKU15P-1FFVE1760I FAQ

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3. Are the XCKU15P-1FFVE1760I price and inventory displayed accurate?

The price and inventory of XCKU15P-1FFVE1760I 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-1FFVE1760I?

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-1FFVE1760I we delivered, we will accept the replacement or return of the XCKU15P-1FFVE1760I 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-1FFVE1760I.

(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