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XCR3384XL-7TQG144C Specifications
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TypeParameter
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Supplier Device Package144-TQFP (20x20)
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Package / Case144-LQFP
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Mounting TypeSurface Mount
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Operating Temperature0°C ~ 70°C (TA)
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Number of I/O118
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Number of Gates9000
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Number of Macrocells384
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Number of Logic Elements/Blocks24
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Voltage Supply - Internal3V ~ 3.6V
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Delay Time tpd(1) Max7 ns
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Programmable TypeIn System Programmable (min 1K program/erase cycles)
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DigiKey ProgrammableNot Verified
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PackagingTray
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Product StatusActive
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SeriesCoolRunner XPLA3
The XCR3384XL-7TQG144C is a specific model of integrated circuit (IC) chip manufactured by Xilinx. It belongs to the XCR3000XL family of Field-Programmable Gate Arrays (FPGAs). Here are some advantages and application scenarios of this IC chip:Advantages: 1. High-density and high-performance: The XCR3384XL-7TQG144C offers a large number of configurable logic blocks, flip-flops, and other resources, allowing for the implementation of complex digital designs. 2. Flexibility: Being an FPGA, it is highly programmable and can be reconfigured multiple times, making it suitable for prototyping and development purposes. 3. Low power consumption: The XCR3384XL-7TQG144C is designed to operate efficiently with low power requirements, making it suitable for power-constrained applications. 4. Fast processing: It offers high-speed performance, enabling real-time processing of data and complex algorithms.Application scenarios: 1. Digital signal processing: The XCR3384XL-7TQG144C can be used in applications that require real-time processing of digital signals, such as audio and video processing, telecommunications, and image processing. 2. Embedded systems: It can be used in embedded systems where flexibility and reconfigurability are desired, such as in industrial automation, robotics, and automotive electronics. 3. Prototyping and development: The XCR3384XL-7TQG144C is often used by engineers and designers for rapid prototyping and development of digital designs, allowing for quick iterations and testing. 4. High-performance computing: It can be utilized in applications that require high-performance computing, such as scientific simulations, data analytics, and machine learning.It's important to note that the specific advantages and application scenarios may vary depending on the requirements and design considerations of a particular project.