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Name: XCKU11P-L2FFVA1156E
Brand: AMD Xilinx
SKU: XCKU11P-L2FFVA1156E
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCKU11P-L2FFVA1156E

Part No.:: XCKU11P-L2FFVA1156E

Manufacturer:: AMD Xilinx

Package:: 1156-BBGA, FCBGA

Datasheet:: XCKU11P-L2FFVA1156E.pdf

Description:: IC FPGA 464 I/O 1156FCBGA

In Stock:: 3386

Quantity:: Add To Cart

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XCKU11P-L2FFVA1156E Specifications

Package/Case:
1156-BBGA, FCBGA
Packaging:
Tray
Series:
Kintex® UltraScale+™
ProductStatus:
Active
NumberofLABs/CLBs:
37320
NumberofLogicElements/Cells:
653100
TotalRAMBits:
53964800
NumberofI/O:
464
NumberofGates:
-
Voltage-Supply:
0.698V ~ 0.876V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 100°C (TJ)

XCKU11P-L2FFVA1156E this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCKU11P-L2FFVA1156E 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 XCKU11P-L2FFVA1156E 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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XCKU11P-L2FFVA1156E information

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XCKU11P-L2FFVA1156E application case analysis in emerging technology fields

XCKU11P-L2FFVA1156E is a field-programmable gate array (FPGA) device manufactured by Xilinx, offering high-performance processing capabilities and flexible reconfigurability.

Application Scenario:

In real-time image processing applications, XCKU11P-L2FFVA1156E can be utilized to accelerate complex algorithms, such as object recognition and tracking in surveillance systems.

Algorithm Acceleration:

To enhance image processing speed using XCKU11P-L2FFVA1156E, the FPGA can be programmed to parallelize and accelerate key algorithms, such as convolutional neural networks (CNNs) for object detection.

1. Image Preprocessing:

Implement FPGA-based modules to preprocess images, such as resizing, filtering, and color space conversion, to optimize data for subsequent processing stages.

2. CNN Inference:

Utilize the parallel processing capabilities of XCKU11P-L2FFVA1156E to accelerate CNN inference tasks, improving the speed and efficiency of object detection and classification.

3. Object Tracking:

Deploy FPGA-based algorithms for real-time object tracking, leveraging the high-speed data processing and reconfigurable architecture of XCKU11P-L2FFVA1156E to track objects across frames efficiently.

4. Integration with Sensors:

Integrate sensors, such as cameras or LiDAR, with XCKU11P-L2FFVA1156E to capture real-world data for image processing tasks, enabling applications like autonomous vehicles or industrial automation.

5. Customization and Adaptability:

Utilize the reconfigurable nature of XCKU11P-L2FFVA1156E to customize and adapt image processing pipelines based on specific application requirements, ensuring optimal performance and resource utilization.

Considerations:

When implementing image processing systems with XCKU11P-L2FFVA1156E, considerations include:

- Resource Utilization: Optimize FPGA resources to maximize performance and minimize resource contention among different processing tasks.

- Power Efficiency: Design power-efficient algorithms and utilize power management techniques to minimize energy consumption during image processing operations.

- Latency and Throughput: Fine-tune algorithms and system architecture to achieve low latency and high throughput for real-time image processing applications.

- System Integration: Ensure seamless integration of XCKU11P-L2FFVA1156E with other system components, such as CPUs, memory, and peripherals, to facilitate data exchange and system operation.

- Algorithm Optimization: Continuously optimize algorithms and FPGA implementations to leverage advancements in hardware technology and improve overall system performance.

XCKU11P-L2FFVA1156E FAQ

1. How to order XCKU11P-L2FFVA1156E on icwhale.com?

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We have a professional and experienced quality control team to strictly verify and test the XCKU11P-L2FFVA1156E. All suppliers must pass our qualification reviews before they can publish their products including XCKU11P-L2FFVA1156E on icwhale.com; we pay more attention to the channels and quality of XCKU11P-L2FFVA1156E products than any other customer. We strictly implement supplier audits, so you can purchase with confidence.

3. Are the XCKU11P-L2FFVA1156E price and inventory displayed accurate?

The price and inventory of XCKU11P-L2FFVA1156E fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.

4. What forms of payment are accepted?

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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 XCKU11P-L2FFVA1156E?

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 XCKU11P-L2FFVA1156E we delivered, we will accept the replacement or return of the XCKU11P-L2FFVA1156E 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 XCKU11P-L2FFVA1156E.

(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