LFXP2-17E-7FN484C Overview

In the package 484-BBGA, this product is provided. This kind of FPGA is composed of FIELD PROGRAMMABLE GATE ARRAY. The device has 358 I/O ports for more coherent data transfer. To form a fundamental building block, there are 17000 logic elements/cells. Power is provided by a 1.2V-volt supply. The Field Programmable Gate Arrays family of FPGAs includes this part. An FPGA module can be attached to a development board with a Surface Mount-pin. This device is powered by a 1.14V~1.26V battery. As part of the XP2 series of FPGAs, it is a type of FPGA. The operating temperature should be kept at 0°C~85°C TJ when operating. This device is equipped with 358 separate outputs, which makes it a very versatile device. A model of this FPGA is contained in Tray for the purpose of saving space. Total terminations are 484. Fpga electronics is worth mentioning that this device provides 282624 bfpga electronics s of RAM. In order to find related parts, use the part number LFXP2-17 as a base. The FPGA module's RAM si34.5kBe reaches 34.5kB in order to ensure that the program operates in a normal manner. In order to make it work, 484 pins have been designed. A total of 2125 LABs/CLBs make up this FPGA array. Fpga electronics is possible for this FPGA to perform as per fpga electronics s specifications as long as fpga electronics is mounted in Surface Mount direction. In the case of 1.2V supply voltage, designers can take full advantage of its flexibility. This is a battery operated device that operates on 1.21.2/3.33.3V. A total of 484 pins are included in this device. Typically, fpga semiconductor uses a crystal oscillating at 435MHz . Data and programs can be stored in this FPGA module's 38.9kB memory.

LFXP2-17E-7FN484C Features

358 I/Os
Up to 282624 RAM bits
484 LABs/CLBs

LFXP2-17E-7FN484C Applications

There are a lot of Lattice Semiconductor Corporation LFXP2-17E-7FN484C FPGAs applications.

• Video & Image Processing
• Consumer Electronics
• Medical Applications
• Random logic
• Telecommunication
• Integrating multiple SPLDs
• Bioinformatics
• High Performance Computing
• Data Mining
• Medical ultrasounds