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Name: XCVU095-2FFVC1517I
Brand: AMD Xilinx
SKU: XCVU095-2FFVC1517I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCVU095-2FFVC1517I

Part No.:: XCVU095-2FFVC1517I

Manufacturer:: AMD Xilinx

Package:: 1517-BBGA, FCBGA

Datasheet:: XCVU095-2FFVC1517I.pdf

Description:: IC FPGA 520 I/O 1517FCBGA

In Stock:: 2227

Quantity:: Add To Cart

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XCVU095-2FFVC1517I Specifications

Package/Case:
1517-BBGA, FCBGA
Packaging:
Bulk
Series:
Virtex® UltraScale™
ProductStatus:
Active
NumberofLABs/CLBs:
67200
NumberofLogicElements/Cells:
1176000
TotalRAMBits:
62259200
NumberofI/O:
520
NumberofGates:
-
Voltage-Supply:
0.922V ~ 0.979V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XCVU095-2FFVC1517I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCVU095-2FFVC1517I 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 XCVU095-2FFVC1517I 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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XCVU095-2FFVC1517I information

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XCVU095-2FFVC1517I application case analysis in emerging technology fields

XCVU095-2FFVC1517I is a high-performance FPGA chip renowned for its versatility and efficiency, ideal for a myriad of applications requiring complex computation and rapid processing.

Application Scenario:

In the field of image processing, XCVU095-2FFVC1517I can revolutionize medical imaging systems by enabling real-time analysis of large volumes of imaging data for diagnostic purposes.

System Architecture:

To implement a medical imaging system utilizing XCVU095-2FFVC1517I, the following components and configurations are essential:

1. Image Acquisition:

Connect imaging devices such as X-ray machines or MRI scanners to the FPGA through appropriate interfaces like PCIe or Ethernet. Utilize the high-speed transceivers available on XCVU095-2FFVC1517I for efficient data transfer.

2. Image Processing:

Utilize the FPGA's parallel processing capability to perform complex image processing algorithms such as noise reduction, edge detection, and feature extraction in real-time. Leverage the DSP slices and on-chip memory resources of XCVU095-2FFVC1517I for optimized performance.

3. Machine Learning Integration:

Integrate machine learning models into the FPGA design to enhance image analysis capabilities. Implement algorithms for pattern recognition, anomaly detection, and classification to assist in medical diagnosis.

4. Display and Visualization:

Connect high-resolution display panels to the FPGA to visualize processed images and diagnostic results. Utilize the configurable I/Os of XCVU095-2FFVC1517I to drive display interfaces such as HDMI or DisplayPort.

5. Data Communication:

Implement communication protocols like TCP/IP or DICOM for seamless integration with hospital networks and PACS (Picture Archiving and Communication Systems). Utilize the Ethernet MAC and other networking capabilities of XCVU095-2FFVC1517I for efficient data exchange.

Performance Enhancements:

To maximize the efficiency and intelligence of the medical imaging system, consider the following optimizations:

- Hardware Acceleration: Offload computationally intensive tasks to dedicated hardware accelerators implemented on the FPGA fabric, leveraging the parallel processing capability of XCVU095-2FFVC1517I.

- Algorithm Optimization: Fine-tune image processing algorithms to exploit the architectural features and resources of XCVU095-2FFVC1517I for improved performance and energy efficiency.

- Real-Time Feedback: Implement feedback mechanisms to continuously monitor system performance and adjust processing parameters dynamically to ensure real-time responsiveness.

- Power Management: Utilize advanced power management techniques such as dynamic voltage and frequency scaling (DVFS) to optimize power consumption without sacrificing performance.

- System Integration: Collaborate with medical professionals and system integrators to tailor the FPGA-based imaging system to specific clinical requirements, ensuring seamless integration with existing medical infrastructure.

XCVU095-2FFVC1517I FAQ

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3. Are the XCVU095-2FFVC1517I price and inventory displayed accurate?

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6. What is the process for return or replacement of XCVU095-2FFVC1517I?

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 XCVU095-2FFVC1517I we delivered, we will accept the replacement or return of the XCVU095-2FFVC1517I 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 XCVU095-2FFVC1517I.

(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