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XC3S1600E-4FGG320C Specifications
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TypeParameter
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Supplier Device Package320-FBGA (19x19)
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Package / Case320-BGA
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Operating Temperature0°C ~ 85°C (TJ)
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Mounting TypeSurface Mount
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Voltage - Supply1.14V ~ 1.26V
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Number of Gates1600000
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Number of I/O250
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Total RAM Bits663552
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Number of Logic Elements/Cells33192
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Number of LABs/CLBs3688
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DigiKey ProgrammableNot Verified
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PackagingTray
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Product StatusActive
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SeriesSpartan®-3E
The XC3S1600E-4FGG320C is a specific model of the Xilinx Spartan-3E family of Field-Programmable Gate Array (FPGA) integrated circuit chips. Here are some advantages and application scenarios of this chip:Advantages: 1. High Logic Density: The XC3S1600E-4FGG320C chip offers a high logic density, allowing for the implementation of complex digital designs. 2. Flexible and Reconfigurable: Being an FPGA, it can be reprogrammed multiple times, making it suitable for prototyping and development purposes. 3. Low Power Consumption: The Spartan-3E family is known for its low power consumption, making it suitable for power-sensitive applications. 4. Cost-Effective: Compared to other FPGA families, the Spartan-3E series offers a good balance between cost and performance, making it an economical choice for various applications.Application Scenarios: 1. Digital Signal Processing (DSP): The XC3S1600E-4FGG320C chip can be used in DSP applications such as audio and video processing, image recognition, and filtering algorithms. 2. Communication Systems: It can be utilized in communication systems like wireless base stations, network routers, and switches for high-speed data processing and protocol handling. 3. Industrial Control Systems: The chip can be employed in industrial control systems for real-time monitoring, automation, and control of various processes. 4. Embedded Systems: It can be used in embedded systems for implementing custom logic, interfacing with peripherals, and accelerating specific tasks. 5. Scientific Research: The XC3S1600E-4FGG320C chip can be utilized in scientific research projects that require high-performance computing, data processing, and algorithm acceleration.It's important to note that the specific application scenarios may vary depending on the requirements and design considerations of the project.
