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XCR3384XL-12PQG208C Specifications
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TypeParameter
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Number of Gates9000
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Number of Logic Elements/Blocks24
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Supplier Device Package208-PQFP (28x28)
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Package / Case208-BFQFP
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Mounting TypeSurface Mount
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Operating Temperature0°C ~ 70°C (TA)
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Number of I/O172
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Number of Macrocells384
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Voltage Supply - Internal3V ~ 3.6V
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Delay Time tpd(1) Max10.8 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 StatusObsolete
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SeriesCoolRunner XPLA3
The XCR3384XL-12PQG208C 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 particular IC chip:Advantages: 1. High-density FPGA: The XCR3384XL-12PQG208C offers a high logic cell count, allowing for complex digital designs to be implemented on a single chip. 2. Programmable functionality: FPGAs are known for their reprogrammability, enabling users to modify the chip's behavior even after deployment. 3. Low power consumption: This IC chip is designed to operate with low power consumption, making it suitable for power-sensitive applications. 4. Fast performance: The XCR3384XL-12PQG208C offers high-speed performance, allowing for efficient execution of complex algorithms and real-time processing.Application scenarios: 1. Digital signal processing (DSP): The high-performance and reprogrammable nature of the XCR3384XL-12PQG208C make it suitable for DSP applications such as audio and video processing, image recognition, and communications. 2. Industrial automation: The FPGA's ability to interface with various sensors, actuators, and communication protocols makes it ideal for industrial automation applications like control systems, robotics, and machine vision. 3. Aerospace and defense: The XCR3384XL-12PQG208C can be used in aerospace and defense applications, including radar systems, avionics, secure communications, and electronic warfare. 4. High-performance computing: FPGAs are increasingly used in high-performance computing scenarios, such as data centers and scientific research, where parallel processing and acceleration of algorithms are required.It's important to note that the specific application scenarios may vary depending on the requirements and design choices made by the user.