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Name: XC6VLX130T-1FFG484C
Brand: AMD Xilinx
SKU: XC6VLX130T-1FFG484C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC6VLX130T-1FFG484C

Part No.:: XC6VLX130T-1FFG484C

Manufacturer:: AMD Xilinx

Package:: 484-BBGA

Datasheet:: XC6VLX130T-1FFG484C.pdf

Description:: IC FPGA 240 I/O 484FBGA

In Stock:: 3583

Quantity:: Add To Cart

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XC6VLX130T-1FFG484C Specifications

Package/Case:
484-BBGA
Packaging:
Tray
Series:
Virtex®-6 LXT
ProductStatus:
Active
NumberofLABs/CLBs:
10000
NumberofLogicElements/Cells:
128000
TotalRAMBits:
9732096
NumberofI/O:
240
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC6VLX130T-1FFG484C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC6VLX130T-1FFG484C 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 XC6VLX130T-1FFG484C 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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XC6VLX130T-1FFG484C information

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XC6VLX130T-1FFG484C application case analysis in emerging technology fields

XC6VLX130T-1FFG484C is a high-performance FPGA (Field-Programmable Gate Array) chip designed by Xilinx, offering exceptional flexibility and computational power for a wide range of applications.

Application Scenario:

In image processing and computer vision applications, XC6VLX130T-1FFG484C can be utilized to accelerate complex algorithms, such as object detection and recognition.

Algorithm Acceleration:

To enhance the efficiency and intelligence of image processing algorithms using XC6VLX130T-1FFG484C, the following strategies can be employed:

1. Parallel Processing:

Utilize the FPGA's parallel processing capability to simultaneously execute multiple stages of the image processing pipeline. Tasks like feature extraction, classification, and post-processing can run concurrently, significantly reducing processing time.

2. Custom Hardware Acceleration:

Design custom hardware accelerators using the FPGA's reconfigurable logic resources to implement computationally intensive tasks efficiently. Functions such as convolutional neural network (CNN) layers or image filtering operations can be offloaded to dedicated hardware blocks, speeding up execution.

3. Interface Optimization:

Optimize the interface between the FPGA and external memory/storage to minimize data transfer latency. Utilize high-speed serial interfaces like PCIe or DDR memory controllers to ensure fast and efficient access to image data.

4. Dynamic Reconfiguration:

Implement dynamic reconfiguration techniques to adapt the FPGA's hardware configuration based on the computational workload or image processing requirements. This flexibility allows for efficient resource utilization and power management.

5. Integration with Embedded Systems:

Integrate XC6VLX130T-1FFG484C with embedded processors or microcontrollers to create intelligent vision systems capable of real-time decision-making. Combine FPGA-accelerated image processing with higher-level algorithms running on embedded CPUs for robust and scalable solutions.

Considerations:

When leveraging XC6VLX130T-1FFG484C for image processing acceleration, it's essential to consider:

- Resource Utilization: Efficiently utilize the FPGA's resources to maximize algorithm acceleration while minimizing resource contention.

- Power Consumption: Optimize the FPGA design to balance computational performance with power consumption, especially in battery-powered or energy-constrained applications.

- Algorithm Optimization: Continuously optimize and tune image processing algorithms to leverage the FPGA's capabilities effectively and achieve desired performance improvements.

- System Integration: Ensure seamless integration of the FPGA-accelerated image processing pipeline with the overall system architecture, including sensor interfaces, data communication, and user interfaces.

- Verification and Testing: Thoroughly verify the FPGA design and image processing algorithms through simulation, emulation, and real-world testing to guarantee accuracy, reliability, and compliance with application requirements.

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6. What is the process for return or replacement of XC6VLX130T-1FFG484C?

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 XC6VLX130T-1FFG484C we delivered, we will accept the replacement or return of the XC6VLX130T-1FFG484C 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 XC6VLX130T-1FFG484C.

(3)The PartNo is unused and only in the original unpacked packaging.

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(1)Inform us within 90 days

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