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Name: XC3S4000-5FGG676C
Brand: AMD Xilinx
SKU: XC3S4000-5FGG676C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC3S4000-5FGG676C

Part No.:: XC3S4000-5FGG676C

Manufacturer:: AMD Xilinx

Package:: 676-BGA

Datasheet:: XC3S4000-5FGG676C.pdf

Description:: IC FPGA 489 I/O 676FBGA

In Stock:: 3620

Quantity:: Add To Cart

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XC3S4000-5FGG676C Specifications

Package/Case:
676-BGA
Packaging:
Tray
Series:
Spartan®-3
ProductStatus:
Active
NumberofLABs/CLBs:
6912
NumberofLogicElements/Cells:
62208
TotalRAMBits:
1769472
NumberofI/O:
489
NumberofGates:
4000000
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC3S4000-5FGG676C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC3S4000-5FGG676C 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 XC3S4000-5FGG676C 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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XC3S4000-5FGG676C information

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XC3S4000-5FGG676C application case analysis in emerging technology fields

XC3S4000-5FGG676C is a high-capacity field-programmable gate array (FPGA) produced by Xilinx, offering versatile programmable logic capabilities and advanced features for various applications.

Application Scenario:

In robotics and automation, XC3S4000-5FGG676C plays a crucial role in enhancing system efficiency and intelligence by providing customizable hardware acceleration and real-time processing capabilities.

Integration:

To integrate XC3S4000-5FGG676C into a robotic control system, follow these steps:

1. Sensor Interface:

Connect sensors such as cameras, LiDAR, or encoders to the FPGA's GPIO pins or dedicated interfaces. Use appropriate signal conditioning circuits to ensure accurate sensor data acquisition.

2. Real-Time Processing:

Utilize the FPGA's parallel processing architecture and dedicated DSP blocks to perform real-time data processing tasks such as image recognition, sensor fusion, or motor control algorithms.

3. Communication:

Implement communication interfaces like Ethernet, CAN, or UART to exchange data with other robotic components or external systems. Configure the FPGA's I/O pins for reliable communication.

4. Motion Control:

Utilize the FPGA's programmable logic to implement complex motion control algorithms, enabling precise trajectory planning, kinematic calculations, and synchronization of multiple axes.

5. Machine Learning Acceleration:

Integrate custom hardware accelerators or neural network inference engines using the FPGA's programmable fabric to accelerate machine learning tasks such as object detection, classification, or path planning.

Benefits:

By leveraging the capabilities of XC3S4000-5FGG676C, robotic systems can achieve:

- High Throughput: Parallel processing capabilities enable rapid execution of complex algorithms, enhancing system performance.

- Low Latency: Real-time processing ensures minimal delay in sensor data acquisition and decision-making, improving system responsiveness.

- Flexibility: FPGA reprogrammability allows for on-the-fly algorithm updates and customization, adapting to changing application requirements.

- Power Efficiency: Optimized hardware implementations consume less power compared to software-based approaches, extending battery life in mobile robotic platforms.

- Scalability: FPGA-based architectures can scale from small embedded systems to large-scale robotic networks, accommodating diverse application scenarios.

Considerations:

When designing with XC3S4000-5FGG676C, consider:

- Resource Utilization: Optimize FPGA resource usage to maximize performance and minimize cost.

- Timing Constraints: Ensure that critical timing requirements are met to guarantee the correct operation of real-time control algorithms.

- Signal Integrity: Design PCB layouts and signal routing carefully to maintain signal integrity and minimize electromagnetic interference.

- Security: Implement hardware-based security features to protect sensitive data and intellectual property stored in the FPGA.

- Verification and Testing: Thoroughly verify FPGA designs through simulation and hardware testing to validate functionality and reliability under various operating conditions.

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3. Are the XC3S4000-5FGG676C price and inventory displayed accurate?

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6. What is the process for return or replacement of XC3S4000-5FGG676C?

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 XC3S4000-5FGG676C we delivered, we will accept the replacement or return of the XC3S4000-5FGG676C 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 XC3S4000-5FGG676C.

(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