LFE2M50E-5F484C

LFE2M50E-5F484C Overview

As part of the 484-BBGA package, it is included. This kind of FPGA is composed of FIELD PROGRAMMABLE GATE ARRAY. A total of 270 I/Os allow data to be transferred in a more coherent manner. A fundamental building block contains 48000 logic elements or cells. Fpga chips is powered from a supply voltage of 1.2V. Field Programmable Gate Arrays family FPGA part. FPGA modules can be attached to development boards using a Surface Mount-connector. In order to operate it, it requires a voltage supply of 1.14V~1.26V . The ECP2M Series is one of the types of FPGAs that belong to this type. As far as the operating temperature is concerned, it should be kept within 0°C~85°C TJ when operating. During the installation of this device, 270 outputs were incorporated. There is an FPGA model contained in Tray in order to conserve space. 484 terminations are present in total. This device is equipped with 4246528 RAM bits in terms of its RAM si4246528e. LFE2M50 is the base part number that can be used to identify related parts. The RAM si518.4kBe of this FPGA module reaches 518.4kB to ensure normal operation of the program. There are 484 pins on this device. 6000 LABs/CLBs are integrated into this FPGA. In order for this FPGA to work properly in accordance with its specifications, it is necessary that it is mounted in Surface Mount. When operating with the supply voltage of 1.2V, designers can fully make use of its flexibility. This device has a pin count of 484 in fpga semiconductor. Programs and data can be stored in the 531kB memory embedded in this FPGA module. This FPGA can get as fast as 311MHz. Fpga semiconductor incorporates 50000 logic cells used for the building block.

LFE2M50E-5F484C Features

270 I/Os
Up to 4246528 RAM bits
484 LABs/CLBs

LFE2M50E-5F484C Applications

There are a lot of Lattice Semiconductor Corporation LFE2M50E-5F484C FPGAs applications.

• Ecosystem
• Artificial intelligence (AI)
• Scientific Instruments
• Military DSP
• Automotive Applications
• Aircraft navigation
• Camera time adjustments
• Industrial IoT
• Integrating multiple SPLDs
• High Performance Computing