EPM7256AEFC100-7N
EPM7256AEFC100-7N
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Intel Corporation

EPM7256AEFC100-7N


EPM7256AEFC100-7N
F18-EPM7256AEFC100-7N
Active
IC CPLD 256MC 7.5NS 100FBGA
100-FBGA (11x11)

EPM7256AEFC100-7N ECAD Model


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EPM7256AEFC100-7N Attributes


Type Description Select
Mfr Intel
Series MAX® 7000A
Package Tray
Programmable Type In System Programmable
Delay Time tpd(1) Max 7.5 ns
Voltage Supply - Internal 3V ~ 3.6V
Number of Logic Elements/Blocks 16
Number of Macrocells 256
Number of Gates 5000
Number of I/O 84
Operating Temperature 0°C ~ 70°C (TA)
Mounting Type Surface Mount
Package / Case 100-LBGA
Supplier Device Package 100-FBGA (11x11)
Base Product Number EPM7256

EPM7256AEFC100-7N Datasheet Download


EPM7256AEFC100-7N Overview



The EPM7256AEFC100-7N is a high-performance Field Programmable Gate Array (FPGA) designed by Altera Corporation. It is a member of the MAX 7000 family of FPGAs, and is built with a combination of advanced CMOS technology and a high-density cell architecture. This chip model is based on a 0.7 micron process, and has a gate density of 100,000 gates. It is capable of operating at a maximum frequency of 100 MHz and has a total power consumption of 1.7 W.


The EPM7256AEFC100-7N is suitable for applications in a wide range of industries, including consumer electronics, automotive, communications, industrial, medical and military. It offers a wide range of features, including low-power operation, high reliability, and high-speed operation. It also offers a wide range of I/O options, including LVDS, LVCMOS, and differential I/O.


The EPM7256AEFC100-7N has a total of 256 I/O pins, with a maximum of 64 pins per bank. It also has a total of 8 dedicated global clock inputs, with a maximum of 4 per bank. It is also equipped with an array of configurable logic blocks, memory blocks, and digital signal processing blocks.


The EPM7256AEFC100-7N is designed to be used in a wide range of applications, such as digital signal processing, image processing, communications, and embedded systems. It is also suitable for use in high-performance computing, where its high-speed operation and low-power consumption can be utilized. In addition, it can be used in applications where its configurability and flexibility can be utilized.



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