LFE3-35EA-6LFN672I Overview

As part of the 672-BBGA package, it is included. An FPGA of this type is made up of FIELD PROGRAMMABLE GATE ARRAY gates. Fpga chips is programmed wFpga chipsh 310 I/Os for transferring data in a more coherent manner. Logic blocks consist of 33000 logic elements/cells. Power is provided by a 1.2V-volt supply. Part of the Field Programmable Gate Arrays family, this FPGA part is a programmable gate array. 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 . This is a type of FPGA that is part of the ECP3 series of FPGAs. In order to ensure a safe and efficient operation, it is important to maintain a temperature within -40°C~100°C TJ at all times. In this device, 310 outputs are incorporated in order to provide you with maximum flexibility. Unlike other FPGA models, this one is contained in Tray for the sake of space saving. Total terminations are 672. Having a RAM bit size of 1358848 means that this device will offer you a lot of memory. If you are looking for related parts, you can use the base part number LFE3-35 as a starting point. A significant amount of RAM is allocated to this FPGA module to ensure that the program can operate normally. In order to make it work, 672 pins have been designed. The FPGA consists of 4125 LABs/CLBs. 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. An external power supply of 1.2V is required to power the device. Fpga semiconductor is equipped wfpga semiconductorh 672 pin count. Fpga semiconductor typically uses a crystal oscillating at 375MHz.

LFE3-35EA-6LFN672I Features

310 I/Os
Up to 1358848 RAM bits
672 LABs/CLBs

LFE3-35EA-6LFN672I Applications

There are a lot of Lattice Semiconductor Corporation LFE3-35EA-6LFN672I FPGAs applications.

• Medical Electronics
• Software-defined radio
• Camera time adjustments
• Electronic Warfare
• Data center hardware accelerators
• Distributed Monetary Systems
• Automotive driver's assistance
• Voice recognition
• Enterprise networking
• Data Mining