Lattice Semiconductor Corporation LFE2-70E-7F672C

LFE2-70E-7F672C Overview
Fpga chips is supplied in the 672-BBGA package. This kind of FPGA is composed of FIELD PROGRAMMABLE GATE ARRAY. Fpga chips is programmed wFpga chipsh 500 I/Os for transferring data in a more coherent manner. There are 68000 logic elements/cells to form a fundamental building block. Fpga chips is powered from a supply voltage of 1.2V. This FPGA part belongs to the family of Field Programmable Gate Arrays. This FPGA module can be attached to the development board with a Surface Mount. Fpga chips operates wFpga chipsh a supply voltage of 1.14V~1.26V. It is a type of FPGA belonging to the ECP2 seies. The operating temperature should be kept at 0°C~85°C TJ when operating. There are 500 outputs incorporated in this device. This FPGA model is contained in Tray for space saving. Fpga chips is designed wFpga chipsh 672 terminations. The RAM bits that this device offer is 1056768. Its base part number LFE2-70 can be used to find related parts. The RAM si129kBe of this FPGA module reaches 129kB to ensure normal operation of the program. Fpga electronics is designed wfpga electronics h 672 pins. This FPGA is built as an array of 8500 LABs/CLBs. As long as this FPGA is mounted in Surface Mount, it could work fantastically according to its specifications. When operating with the supply voltage of 1.2V, designers can fully make use of its flexibility. Fpga semiconductor is equipped wfpga semiconductorh 672 pin count. This FPGA module embeds a memory of 146kB available for storing programs and data. This FPGA can get as fast as 420MHz. Fpga semiconductor incorporates 70000 logic cells used for the building block.

LFE2-70E-7F672C Features
500 I/Os
Up to 1056768 RAM bits
672 LABs/CLBs


LFE2-70E-7F672C Applications
There are a lot of Lattice Semiconductor Corporation
LFE2-70E-7F672C FPGAs applications.


Digital signal processing
Bioinformatics
Device controllers
Software-defined radio
Random logic
ASIC prototyping
Medical imaging
Computer hardware emulation
Integrating multiple SPLDs
Voice recognition