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Name: XC6SLX150-2CSG484C
Brand: AMD Xilinx
SKU: XC6SLX150-2CSG484C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC6SLX150-2CSG484C

Part No.:: XC6SLX150-2CSG484C

Manufacturer:: AMD Xilinx

Package:: 484-FBGA, CSPBGA

Datasheet:: XC6SLX150-2CSG484C.pdf

Description:: IC FPGA 338 I/O 484CSBGA

In Stock:: 3801

Quantity:: Add To Cart

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XC6SLX150-2CSG484C Specifications

Package/Case:
484-FBGA, CSPBGA
Packaging:
Tray
Series:
Spartan®-6 LX
ProductStatus:
Active
NumberofLABs/CLBs:
11519
NumberofLogicElements/Cells:
147443
TotalRAMBits:
4939776
NumberofI/O:
338
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC6SLX150-2CSG484C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC6SLX150-2CSG484C 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 XC6SLX150-2CSG484C 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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XC6SLX150-2CSG484C information

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XC6SLX150-2CSG484C application case analysis in emerging technology fields

XC6SLX150-2CSG484C is a field-programmable gate array (FPGA) known for its high performance and versatility, making it ideal for a wide range of applications requiring customizable hardware acceleration.

Application Scenario:

In the domain of image processing and computer vision, XC6SLX150-2CSG484C can be effectively utilized to accelerate complex algorithms such as convolutional neural networks (CNNs) for real-time object detection and recognition in video streams.

System Architecture:

To implement a real-time object detection system using XC6SLX150-2CSG484C, the following architecture can be adopted:

1. Input Interface:

Design an interface module to receive video input from cameras or other sources. Utilize high-speed serial interfaces supported by XC6SLX150-2CSG484C, such as PCIe or Gigabit Ethernet, for efficient data transfer.

2. FPGA Acceleration:

Implement custom hardware accelerators within the FPGA fabric to efficiently execute CNN layers, such as convolution, pooling, and fully connected layers. Utilize parallel processing capabilities of XC6SLX150-2CSG484C to speed up computation.

3. Output Processing:

After object detection inference is performed within the FPGA, process the results and generate bounding boxes or labels indicating detected objects. Interface with display devices or communication modules for further analysis or visualization.

4. Integration with Host System:

Integrate the FPGA-based object detection system with the host system, such as a computer or embedded platform. Utilize standard communication protocols, like PCIe or Ethernet, to facilitate data exchange and system control.

5. Real-Time Performance:

Optimize FPGA designs and algorithms to achieve real-time performance targets, ensuring that object detection processing meets stringent timing constraints for applications requiring low latency.

Considerations:

When deploying XC6SLX150-2CSG484C in real-time object detection systems, consider the following factors:

- Resource Utilization: Optimize FPGA resource utilization to maximize performance and minimize overhead.

- Power Efficiency: Implement power-saving techniques, such as clock gating and dynamic voltage and frequency scaling, to enhance energy efficiency of the system.

- Algorithm Complexity: Balance the complexity of CNN models with available FPGA resources to achieve a trade-off between performance and resource utilization.

- System Integration: Ensure seamless integration with existing software frameworks or libraries for CNN inference, enabling rapid deployment and ease of use.

- Performance Validation: Thoroughly validate the system's performance and accuracy under various input conditions and environmental factors to ensure reliable operation in real-world scenarios.

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3. Are the XC6SLX150-2CSG484C price and inventory displayed accurate?

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6. What is the process for return or replacement of XC6SLX150-2CSG484C?

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 XC6SLX150-2CSG484C we delivered, we will accept the replacement or return of the XC6SLX150-2CSG484C 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 XC6SLX150-2CSG484C.

(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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