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Name: XC5VLX110T-2FF1738I
Brand: AMD Xilinx
SKU: XC5VLX110T-2FF1738I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC5VLX110T-2FF1738I

Part No.:: XC5VLX110T-2FF1738I

Manufacturer:: AMD Xilinx

Package:: 1738-BBGA, FCBGA

Datasheet:: XC5VLX110T-2FF1738I.pdf

Description:: IC FPGA 680 I/O 1738FCBGA

In Stock:: 2915

Quantity:: Add To Cart

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XC5VLX110T-2FF1738I Specifications

Package/Case:
1738-BBGA, FCBGA
Packaging:
Tray
Series:
Virtex®-5 LXT
ProductStatus:
Active
NumberofLABs/CLBs:
8640
NumberofLogicElements/Cells:
110592
TotalRAMBits:
5455872
NumberofI/O:
680
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC5VLX110T-2FF1738I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC5VLX110T-2FF1738I 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 XC5VLX110T-2FF1738I 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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XC5VLX110T-2FF1738I information

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XC5VLX110T-2FF1738I application case analysis in emerging technology fields

XC5VLX110T-2FF1738I is a high-performance FPGA (Field-Programmable Gate Array) known for its versatility and advanced features, making it a preferred choice for various applications requiring high computational capabilities and flexibility.

Application Scenario:

In image processing and computer vision applications, XC5VLX110T-2FF1738I plays a crucial role in accelerating algorithms for tasks such as object detection, pattern recognition, and image enhancement.

System Architecture:

To implement image processing algorithms using XC5VLX110T-2FF1738I, the following architecture can be adopted:

1. Image Acquisition:

Capture images from cameras or sensors and transfer them to the FPGA for processing. Utilize interfaces like MIPI CSI or LVDS to interface with image sensors, ensuring high-speed data transfer and compatibility with the FPGA.

2. Algorithm Implementation:

Develop and optimize image processing algorithms, such as edge detection, convolution, or feature extraction, using hardware description languages like Verilog or VHDL. Utilize the parallel processing capabilities of XC5VLX110T-2FF1738I to accelerate computation and achieve real-time performance.

3. Memory Interface:

Design efficient memory interfaces to store intermediate results and image frames. Utilize on-chip memory blocks or external DDR SDRAM to accommodate large datasets and facilitate seamless data access during processing.

4. Output Display:

Display processed images or visualizations on external monitors or displays. Utilize display interfaces like HDMI or VGA to interface with the output display devices, ensuring compatibility and high-quality image rendering.

5. System Integration:

Integrate the FPGA-based image processing system into larger systems or embedded platforms. Interface with host processors or controllers using standard communication protocols like PCIe or Ethernet for data exchange and system control.

Benefits:

- High Performance: The parallel processing architecture of XC5VLX110T-2FF1738I enables high-speed execution of image processing algorithms, resulting in reduced latency and improved system responsiveness.

- Flexibility: FPGA-based solutions offer flexibility in algorithm implementation and system configuration, allowing customization for specific application requirements without hardware redesign.

- Scalability: The scalable nature of FPGA technology allows for easy scalability to accommodate evolving processing needs and future algorithm enhancements.

- Power Efficiency: By offloading computationally intensive tasks to the FPGA, overall system power consumption can be optimized, leading to energy-efficient operation, particularly in battery-powered or embedded systems.

Considerations:

When designing FPGA-based image processing systems, it's essential to consider:

- Resource Utilization: Optimize FPGA resource utilization to ensure efficient use of hardware resources and maximize performance.

- Timing Constraints: Meet timing constraints to guarantee proper synchronization and operation of the image processing pipeline, especially in real-time applications.

- Verification and Testing: Conduct thorough verification and testing to validate the correctness and robustness of the implemented algorithms and system functionality under various scenarios and input conditions.

- System Integration: Ensure seamless integration of the FPGA-based image processing system with other components and subsystems, considering compatibility, interfacing requirements, and system-level performance.

XC5VLX110T-2FF1738I FAQ

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3. Are the XC5VLX110T-2FF1738I price and inventory displayed accurate?

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6. What is the process for return or replacement of XC5VLX110T-2FF1738I?

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 XC5VLX110T-2FF1738I we delivered, we will accept the replacement or return of the XC5VLX110T-2FF1738I 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 XC5VLX110T-2FF1738I.

(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