LFE2-20SE-7F484C Overview

In the 484-BBGA package, you will find fpga chips. FPGAs of this type consist of FIELD PROGRAMMABLE GATE ARRAY components. 331 I/Os are available for transferring data more efficiently. The basic building blocks of logic contain 21000 logic elements/cells. In order for the device to operate, a supply voltage of 1.2V volts needs to be provided. This FPGA part belongs to the family of Field Programmable Gate Arrays. The Surface Mount-slot on the development board allows you to attach the FPGA module. Powered by a 1.14V~1.26V supply voltage, fpga chips is able to operate at high speeds. FPGAs belonging to the ECP2 series are a type of FPGA that belong to the ECP2 series of FPGAs. When operating the machine, it is important to keep the temperature within 0°C~85°C TJ range. With this device, you will be able to make use of 331 outputs. This FPGA model is contained in Tray for space saving. Fpga chips is designed wFpga chipsh 484 terminations. Having a RAM bit size of 282624 means that this device will offer you a lot of memory. In order to find related parts, you can use its base part number LFE2-20. There is a maximum RAM si34.5kBe of 34.5kB on this FPGA module, which is necessary to ensure the normal operation of the program. In this case, there are 484 pins on the board. An array of 2625 LABs/CLBs is built into the FPGA. According to its specifications, this FPGA will be able to work fantastically as long as it is mounted in Surface Mount. Its flexibility is fully utilized when operated with a supply voltage of 1.2V. As far as the pin count is concerned, it has 484 pins. There is a memory of 39.8kB embedded in this FPGA module, which can be used for storing programs and data. It is possible to achieve a speed of up to 420MHz with this FPGA. As part of the building blocks, it consists of 20000 logic cells.

LFE2-20SE-7F484C Features

331 I/Os
Up to 282624 RAM bits
484 LABs/CLBs

LFE2-20SE-7F484C Applications

There are a lot of Lattice Semiconductor Corporation LFE2-20SE-7F484C FPGAs applications.

• Audio
• Filtering and communication encoding
• Computer hardware emulation
• Aerospace and Defense
• Radar and Sensors
• Ecosystem
• Automotive Applications
• Medical ultrasounds
• Embedded Vision
• Industrial Ethernet