LCMXO640C-3T100I Allicdata Electronics
Allicdata Part #:

LCMXO640C-3T100I-ND

Manufacturer Part#:

LCMXO640C-3T100I

Price: $ 0.00
Product Category:

Integrated Circuits (ICs)

Manufacturer: Lattice Semiconductor Corporation
Short Description: IC FPGA 74 I/O 100TQFP
More Detail: N/A
DataSheet: LCMXO640C-3T100I datasheetLCMXO640C-3T100I Datasheet/PDF
Quantity: 1000
1 +: 0.00000
Stock 1000Can Ship Immediately
$ 0
Specifications
Series: MachXO
Part Status: Obsolete
Number of LABs/CLBs: 80
Number of Logic Elements/Cells: 640
Number of I/O: 74
Voltage - Supply: 1.71 V ~ 3.465 V
Mounting Type: Surface Mount
Operating Temperature: -40°C ~ 100°C (TJ)
Package / Case: 100-LQFP
Supplier Device Package: 100-TQFP (14x14)
Base Part Number: LCMXO640
Description

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FPGAs are a form of programmable logic technology which have become increasingly popular in embedded control system design due to their many advantages over hardwired logic designs. The ARM Cortex-M0 core-based Texas Instruments (TI) Lattice LCMXO640C-3T100I FPGA is a great example of a high performance, low power FPGA suitable for use in a wide range of embedded applications. This article will explore the application field and working principle of the LCMXO640C-3T100I FPGA.

Application Field of the LCMXO640C-3T100I FPGA

The LCMXO640C-3T100I FPGA is a versatile and powerful FPGA that is well suited to a variety of embedded control system applications. It features a powerful ARM Cortex-M0 core, 5K LUTs, oneGBit/s Ethernet, and 48 I/O and four dedicated SPI/I2C ports. This makes it suitable for use in applications such as IoT edge nodes, robotic systems, LED lighting controllers Smart Home devices and automotive ECUs. It also features flexible power management, support for a wide range of serial protocols and compatibility with the Texas Instruments Logic Trace development system for automated design capture and prototyping.

Working Principle of the LCMXO640C-3T100I FPGA

The LCMXO640C-3T100I FPGA is a programmable logic device that is designed to be programmed to implement specific logic functions. It is constructed from a two-dimension array of configurable logic blocks (CLBs) and programmable interconnects. The CLBs can be programmed to implement arbitrary logical functions as well as memory and arithmetic operations. The programmable interconnects allow the CLBs to be connected in any combination for the implementation of complex digital systems. The FPGA can be programmed using a hardware description language (HDL) such as VHDL or Verilog to create custom logic circuits.

Using these programmable logic blocks the FPGA can be used to create custom logic circuits that can be adapted according to the needs of the application. The FPGA also contains additional circuitry such as phase-locked loops (PLLs) and analog-to-digital converters (ADCs) so that it can be used to create mixed signal systems as well as digital logic. This allows the FPGA to be used in applications where mixed signal or analog systems are required.

The FPGA also features a powerful and energy efficient ARM Cortex-M0 core which can be programmed and debugged using the ARM Cortex Development Studio. The ARM cortex can be used to control and monitor the operation of the FPGA and act as a digital system controller. This allows the FPGA to be used to create complex embedded control systems for a wide range of applications.

Conclusion

The Texas Instruments (TI) Lattice LCMXO640C-3T100I FPGA is a powerful and versatile FPGA ideally suited for use in a wide range of embedded control system applications. It features a powerful ARM Cortex-M0 core, 5K LUTs, oneGBit/s Ethernet, and 48 I/O and four dedicated SPI/I2C ports. It is constructed from a two-dimension array of configurable logic blocks and programmable interconnects and can be programmed using a hardware description language such as VHDL or Verilog. The FPGA also contains additional circuitry such as phase-locked loops and analog-to-digital converters, making it suitable for use in both digital and analog systems. It is an ideal solution for embedded applications such as IoT edge nodes, robotic systems, LED lighting controllers and automotive ECUs.

The specific data is subject to PDF, and the above content is for reference

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