LFXP2-17E-6FTN256C Overview

Fpga chips is supplied in the 256-LBGA package. A FIELD PROGRAMMABLE GATE ARRAY-based FPGA is one of these types. The I/Os are designed to facilitate a more coherent transfer of data. A fundamental building block consists of 17000 logic elements/cells. Power is provided by a 1.2V-volt supply. The Field Programmable Gate Arrays family of FPGA parts includes this part. The Surface Mount-slot on the development board allows you to attach the FPGA module. This device is powered by a 1.14V~1.26V battery. It is a type of FPGA that belongs to the XP2 series of FPGAs. As far as the operating temperature is concerned, it should be kept within 0°C~85°C TJ when operating. The device has 201 outputs that are integrated into it. As a space-saving measure, this FPGA model is contained within Tray. In total, it has 256 terminations on each end. As far as the RAM bits are concerned, this device offers you a total of 282624. In order to find related parts, you can use its base part number LFXP2-17. During the configuration of this FPGA module, the RAM si34.5kBe reaches 34.5kB to ensure that the program runs normally. It has a total of 256 pins that are designed for it. The FPGA consists of 2125 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. Its flexibility can be fully utilized when operating with a 1.2V supply voltage. Power is supplied to the device by a 1.21.2/3.33.3V battery. Fpga semiconductor is equipped wfpga semiconductorh 256 pin count. A crystal oscillating at 435MHz is one of the most common components of this device. Data and programs can be stored in this FPGA module's memory of 38.9kB.

LFXP2-17E-6FTN256C Features

201 I/Os
Up to 282624 RAM bits
256 LABs/CLBs

LFXP2-17E-6FTN256C Applications

There are a lot of Lattice Semiconductor Corporation LFXP2-17E-6FTN256C FPGAs applications.

• Random logic
• Medical Electronics
• Camera time adjustments
• Cryptography
• Data center hardware accelerators
• Data Mining
• Aerospace and Defense
• Digital signal processing
• Enterprise networking
• Automotive driver's assistance