LFE3-35EA-7LFN484C Overview

In the package 484-BBGA, this product is provided. Fpga chips consists of FIELD PROGRAMMABLE GATE ARRAY elements. Its 295 I/Os help it transfer data more efficiently. Logic elements/cells form the fundamental building block of a computer. Fpga chips is powered from a supply voltage of 1.2V. A Field Programmable Gate Arrays-series FPGA part. The Surface Mount-slot connector on the FPGA module can be connected to the development board. With a supply voltage of 1.14V~1.26V, this device operates with ease. There are many types of FPGAs in the ECP3 series, this is one of them. As far as the operating temperature is concerned, it should be kept within 0°C~85°C TJ when operating. There are 295 outputs incorporated in this device. A model of this FPGA is contained in Tray for the purpose of saving space. In total, it has a total of 484 terminations. Having a RAM bit size of 1358848 means that this device will offer you a lot of memory. Its base part number LFE3-35 can be used to find related parts. This FPGA module has a RAM si165.9kBe of 165.9kB that is sufficient to make sure that the program is able to run normally. The device is designed with 484 pins in total. 4125 LABs and CLBs are built into this FPGA. As long as this FPGA is mounted in Surface Mount, it should be able to function as it should in terms of its specifications, as well as its capabilities. Its flexibility is fully utilized when operated with a supply voltage of 1.2V. I am going to present you with a device that is equipped with 484 pins. It usually uses a 420MHz crystal. In this FPGA module, there is a memory of 174.4kB available for storing applications and data. There is a 53.7mA supply current used in its operation.

LFE3-35EA-7LFN484C Features

295 I/Os
Up to 1358848 RAM bits
484 LABs/CLBs

LFE3-35EA-7LFN484C Applications

There are a lot of Lattice Semiconductor Corporation LFE3-35EA-7LFN484C FPGAs applications.

• Scientific Instruments
• Automotive advanced driver assistance systems (ADAS)
• Data Mining
• Server Applications
• Medical Applications
• Automation
• Industrial IoT
• High Performance Computing
• Bioinformatics
• Medical imaging