LFE2M20E-5FN256I Overview

This package is included in the 256-BGA package and is available for purchase. The FIELD PROGRAMMABLE GATE ARRAY-series of FPGAs are composed of this type. This device features 140 I/Os in order to transfer data in a more efficient manner. A fundamental building block consists of 19000 logic elements/cells. An electrical supply voltage of 1.2V powers it. The Field Programmable Gate Arrays family of FPGA parts includes this part. With a Surface Mount connector, this FPGA module can be attached to the development board. In order for it to operate, the supply voltage must be 1.14V~1.26V . An FPGA belonging to the ECP2M series is referred to as an FPGA. Fpga chips is important to maintain the operating temperature wFpga chipshin the range of -40°C~100°C TJ when operating the machine. A total of 140 outputs are incorporated into this device. Unlike other FPGA models, this one is contained in Tray for the sake of space saving. Fpga chips is designed wFpga chipsh 256 terminations. The RAM bits that this device offer is 1246208. LFE2M20 is the base part number that can be used to identify related parts. The FPGA module's RAM si152.1kBe reaches 152.1kB in order to ensure that the program operates in a normal manner. There are 256 pins on this device. The FPGA consists of 2375 LABs/CLBs. I think, as long as this FPGA is mounted in Surface Mount, it could perform excellently according to its specifications as long as you mount it in Surface Mount. In the case of 1.2V supply voltage, designers can take full advantage of its flexibility. The device has a total of 256 pins on fpga semiconductor. Data and programs can be stored in this FPGA module's 157.3kB memory. It is possible to achieve a speed of up to 311MHz with this FPGA. Fpga semiconductor incorporates 20000 logic cells used for the building block.

LFE2M20E-5FN256I Features

140 I/Os
Up to 1246208 RAM bits
256 LABs/CLBs

LFE2M20E-5FN256I Applications

There are a lot of Lattice Semiconductor Corporation LFE2M20E-5FN256I FPGAs applications.

• Industrial IoT
• Automotive Applications
• Data Mining
• Medical imaging
• Digital signal processing
• ASIC prototyping
• Camera time adjustments
• Data Center
• Medical Applications
• Automotive advanced driver assistance systems (ADAS)