5SGXEB5R3F43I3LG vs 5SGXEB5R3F43I3G

Part Number
5SGXEB5R3F43I3LG
5SGXEB5R3F43I3G
Category Embedded - FPGAs (Field Programmable Gate Array) Embedded - FPGAs (Field Programmable Gate Array)
Manufacturer Altera Altera
Description IC FPGA 600 I/O 1760FBGA IC FPGA 600 I/O 1760FBGA
Package Tray Tray
Series Stratix® V GX Stratix® V GX
Voltage - Supply 0.82V ~ 0.88V 0.82V ~ 0.88V
Operating Temperature -40°C ~ 100°C (TJ) -40°C ~ 100°C (TJ)
Mounting Type Surface Mount Surface Mount
Package / Case 1760-BBGA, FCBGA 1760-BBGA, FCBGA
Supplier Device Package 1760-FCBGA (42.5x42.5) 1760-FCBGA (42.5x42.5)
Number of I/O 600 600
Number of Gates - -
Number of LABs/CLBs 185000 185000
Number of Logic Elements/Cells 490000 490000
Total RAM Bits 41984000 41984000
  • 1. What is FPGA Field Programmable Gate Array?

    FPGA (Field Programmable Gate Array) is a semiconductor device that allows users to change and configure the internal connection structure and logic units of the device through software means after manufacturing to complete the digital integrated circuit of the established design function. ‌ FPGA consists of programmable logic resources, programmable interconnection resources and programmable input and output resources, and is mainly used to implement sequential logic circuits with state machines as the main feature.
    FPGA is a product further developed on the basis of programmable devices such as [PAL (Programmable Array Logic) and GAL (General Array Logic). As a semi-custom circuit in the field of application-specific integrated circuits (ASIC), it not only solves the shortcomings of customized circuits, but also overcomes the shortcomings of the limited number of gate circuits of the original programmable devices. FPGA realizes a unique method of digital circuits by providing programmable hardware blocks and interconnections that can be configured to perform various tasks, making hardware development more flexible.

  • 2. What is the hardware of FPGA?

    FPGA (Field Programmable Gate Array) is a highly flexible programmable logic chip that users can program to achieve specific logic functions according to their needs. The main uses of FPGA include communications and networks, digital signal processing, automotive and aerospace, industrial automation, high-performance computing, smart Internet of Things and many other aspects.

  • 3. Why use FPGA as a digital controller?

    The main reason for using FPGA as a digital controller is its flexibility and programmability. FPGA (Field Programmable Gate Array) is a chip whose internal structure can be changed through programming. It has high flexibility and programmability, which makes FPGA widely used in the field of digital controllers.
    The flexibility of FPGA is reflected in the fact that its logic units can be configured to implement different logic functions. Users can use hardware description languages ​​(such as VHDL or Verilog) to write programs to map logic functions to lookup tables (LUTs) and logic units inside FPGA. This flexibility allows FPGAs to adapt to different application requirements and can be reprogrammed as needed to adapt to new application scenarios.
    In addition, FPGAs also have high-performance parallel computing capabilities and high-speed data processing capabilities, which makes it play an important role in digital signal processing, image processing, network communication and other fields. The parallel processing capabilities of FPGAs enable it to handle multiple tasks at the same time, improving overall processing efficiency.

  • 4. Is FPGA good for AI ?

    FPGAs are good for AI. FPGAs offer a variety of advantages in the field of AI, including high performance, low latency, cost-effectiveness, energy efficiency and flexibility.
    The main advantages of FPGAs in the field of AI include:
    High performance and low latency: FPGAs offer low latency as well as deterministic latency, which is critical for many applications with strict deadlines, such as real-time applications such as speech recognition, video streaming and action recognition.
    Cost-effectiveness: FPGAs can be reprogrammed for different data types and functions after manufacturing, which creates value compared to replacing applications with new hardware. By integrating additional functions onto the same chip, designers can reduce costs and save board space.
    Energy efficiency: FPGAs enable designers to fine-tune hardware according to application requirements, using techniques such as INT8 quantization to reduce memory and computing requirements, thereby reducing energy consumption.
    Flexibility and customization: FPGA can be optimized at the hardware level for specific algorithms, reducing unnecessary computing and storage overhead. For example, AMD's Alveo V80 accelerator card uses Versal FPGA adaptive SoC and HBM technology to provide efficient computing power.
    In summary, FPGA has significant advantages in the field of AI, including high performance, low latency, cost-effectiveness, energy efficiency and flexibility, making it an ideal solution in AI applications.

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