LFE3-17EA-6FN484I Overview

Fpga chips is supplied in the 484-BBGA package. The FIELD PROGRAMMABLE GATE ARRAY-series of FPGAs are composed of this type. This device features 222 I/Os in order to transfer data in a more efficient manner. To form a fundamental building block, there are 17000 logic elements/cells. Supply voltage is 1.2V volts. In this case, the FPGA part belongs to the Field Programmable Gate Arrays family. Surface Mount-connectors can be used to attach this FPGA module to the development board. This device is powered by a 1.14V~1.26V battery. The ECP3 series FPGA is a type of FPGA that belongs to the ECP3 family of FPGAs. The operating temperature should be kept at -40°C~100°C TJ when operating. During the installation of this device, 222 outputs were incorporated. It is for space saving reasons that this FPGA model is contained in Tray. The total number of terminations is 484. A device like this one offers 716800 RAM bits, which is a considerable amount of memory. In order to find related parts, use the part number LFE3-17 as a base. This FPGA module has a RAM si87.5kBe of 87.5kB that is sufficient to make sure that the program is able to run normally. In this case, 484 pins are used in the design. An array of 2125 LABs/CLBs is built into the 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. With a 1.2V supply voltage, designers can fully utilize the flexibility of the device. In addition to this, it has 484 pins. A memory of 92kB is embedded in this FPGA module for storing data and programs. A FPGA of this type can achieve a speed as high as 3.1MHz. The supply current used for its operation is 18mA.

LFE3-17EA-6FN484I Features

222 I/Os
Up to 716800 RAM bits
484 LABs/CLBs

LFE3-17EA-6FN484I Applications

There are a lot of Lattice Semiconductor Corporation LFE3-17EA-6FN484I FPGAs applications.

• Embedded Vision
• Defense Applications
• Automotive
• Industrial IoT
• Software-defined radio
• Filtering and communication encoding
• Integrating multiple SPLDs
• Broadcast
• Voice recognition
• Audio