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Name: XCKU115-1FLVA2104I
Brand: AMD Xilinx
SKU: XCKU115-1FLVA2104I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCKU115-1FLVA2104I

Part No.:: XCKU115-1FLVA2104I

Manufacturer:: AMD Xilinx

Package:: 2104-BBGA, FCBGA

Datasheet:: XCKU115-1FLVA2104I.pdf

Description:: IC FPGA 832 I/O 2104FCBGA

In Stock:: 3103

Quantity:: Add To Cart

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XCKU115-1FLVA2104I Specifications

Package/Case:
2104-BBGA, FCBGA
Packaging:
Bulk
Series:
Kintex® UltraScale™
ProductStatus:
Active
NumberofLABs/CLBs:
82920
NumberofLogicElements/Cells:
1451100
TotalRAMBits:
77721600
NumberofI/O:
832
NumberofGates:
-
Voltage-Supply:
0.922V ~ 0.979V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XCKU115-1FLVA2104I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCKU115-1FLVA2104I 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 XCKU115-1FLVA2104I 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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XCKU115-1FLVA2104I information

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XCKU115-1FLVA2104I application case analysis in emerging technology fields

XCKU115-1FLVA2104I is a high-performance field-programmable gate array (FPGA) from Xilinx, known for its versatile features and extensive capabilities in various applications, including aerospace, telecommunications, and industrial automation.

Application Scenario:

In the field of image processing and computer vision, XCKU115-1FLVA2104I can be utilized to accelerate complex algorithms such as object detection and recognition, enhancing the efficiency and intelligence of vision-based systems.

System Architecture:

To implement an image processing system using XCKU115-1FLVA2104I, the following architectural components are essential:

1. Image Acquisition:

Utilize high-speed image sensors or cameras to capture visual data. Interface these sensors with XCKU115-1FLVA2104I using appropriate interfaces such as MIPI CSI or LVDS for efficient data transfer.

2. Pre-processing:

Implement preprocessing algorithms on XCKU115-1FLVA2104I to enhance image quality, remove noise, and perform tasks like color correction or image stabilization.

3. Feature Extraction:

Utilize the computational power of XCKU115-1FLVA2104I to extract relevant features from the images, such as edges, textures, or keypoints, using algorithms like Sobel edge detection or SIFT.

4. Object Detection and Recognition:

Deploy deep learning models or traditional computer vision algorithms on XCKU115-1FLVA2104I to detect and recognize objects within the processed images, enabling tasks like facial recognition or autonomous vehicle navigation.

5. Decision Making:

Integrate decision-making logic on XCKU115-1FLVA2104I to interpret the extracted features and make intelligent decisions, such as triggering alarms in security systems or controlling robotic actions based on detected objects.

Considerations:

When designing the image processing system, consider the following factors:

- Computational Efficiency: Optimize algorithms and hardware implementations to leverage the parallel processing capabilities of XCKU115-1FLVA2104I and achieve real-time performance.

- Resource Utilization: Efficiently utilize FPGA resources such as logic cells, DSP slices, and memory blocks to maximize the system's throughput and minimize latency.

- Power Consumption: Implement power-efficient designs and clock gating techniques to minimize the power consumption of XCKU115-1FLVA2104I in battery-powered or energy-constrained applications.

- Scalability: Design the system with scalability in mind to accommodate future expansion or upgrades, such as adding more processing units or integrating newer FPGA technologies.

- Verification and Testing: Thoroughly verify the system's functionality and performance through simulation, emulation, and prototyping to ensure reliable operation in real-world scenarios.

XCKU115-1FLVA2104I FAQ

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3. Are the XCKU115-1FLVA2104I price and inventory displayed accurate?

The price and inventory of XCKU115-1FLVA2104I 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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6. What is the process for return or replacement of XCKU115-1FLVA2104I?

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 XCKU115-1FLVA2104I we delivered, we will accept the replacement or return of the XCKU115-1FLVA2104I 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 XCKU115-1FLVA2104I.

(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