XC4002A-5PC84C
XC4002A-5PC84C
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rohs

AMD Xilinx

XC4002A-5PC84C


XC4002A-5PC84C
F20-XC4002A-5PC84C
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, PLASTIC, LCC-84
PLASTIC, LCC-84

XC4002A-5PC84C ECAD Model


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XC4002A-5PC84C Attributes


Type Description Select
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 5 V
Number of Inputs 64
Number of Outputs 64
Number of Logic Cells 64
Number of Equivalent Gates 1600
Number of CLBs 64
Combinatorial Delay of a CLB-Max 4.5 ns
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Temperature Grade OTHER
Package Shape SQUARE
Technology CMOS
Organization 64 CLBS, 1600 GATES
Additional Feature 256 FLIP-FLOPS; TYP. GATES = 1600-2000
Clock Frequency-Max 133.3 MHz
Power Supplies 5 V
Supply Voltage-Max 5.25 V
Supply Voltage-Min 4.75 V
JESD-30 Code S-PQCC-J84
Qualification Status Not Qualified
JESD-609 Code e0
Moisture Sensitivity Level 3
Operating Temperature-Max 85 °C
Peak Reflow Temperature (Cel) 225
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 84
Package Body Material PLASTIC/EPOXY
Package Code QCCJ
Package Equivalence Code LDCC84,1.2SQ
Package Shape SQUARE
Package Style CHIP CARRIER
Surface Mount YES
Terminal Finish TIN LEAD
Terminal Form J BEND
Terminal Pitch 1.27 mm
Terminal Position QUAD
Width 29.3116 mm
Length 29.3116 mm
Seated Height-Max 5.08 mm
Ihs Manufacturer XILINX INC
Part Package Code LCC
Package Description PLASTIC, LCC-84
Pin Count 84
Reach Compliance Code unknown
HTS Code 8542.39.00.01

XC4002A-5PC84C Datasheet Download


XC4002A-5PC84C Overview



The chip model XC4002A-5PC84C is a high-performance, low-power integrated circuit designed by Xilinx Corporation for use in advanced communication systems. It is a field-programmable gate array (FPGA) device that combines the flexibility of programmable logic with the speed and low power consumption of high-performance logic. The device is capable of implementing a wide range of functions and can be used for a variety of applications, from digital signal processing to artificial intelligence.


The original design intention of the chip model XC4002A-5PC84C was to provide a cost-effective solution for advanced communication systems. It is capable of providing high-speed data transmission, low-power consumption, and high-density integration of functions. The device is also designed to be highly scalable, allowing for future upgrades and modifications. This makes the device suitable for both current and future communication systems.


In terms of product description and specific design requirements, the chip model XC4002A-5PC84C is a high-performance, low-power integrated circuit with a wide range of features and applications. It is designed to be highly scalable and can be used for a variety of applications. It is capable of providing high-speed data transmission, low-power consumption, and high-density integration of functions. It is also designed to be highly reliable and has a wide range of features, such as error correction and fault tolerance.


The chip model XC4002A-5PC84C can also be used for the development and popularization of future intelligent robots. It is capable of providing the necessary computing power and flexibility for the development of advanced robotics. In addition, the device can also be used to implement a wide range of algorithms and functions, making it suitable for a variety of applications. To use the model effectively, technical talents such as software engineers, hardware engineers, and robotics engineers are needed.


In conclusion, the chip model XC4002A-5PC84C is a high-performance, low-power integrated circuit designed by Xilinx Corporation for use in advanced communication systems. It is capable of providing high-speed data transmission, low-power consumption, and high-density integration of functions. It is also highly scalable and can be used for a variety of applications, from digital signal processing to artificial intelligence. The device can also be used for the development and popularization of future intelligent robots, and technical talents such as software engineers, hardware engineers, and robotics engineers are needed to use the model effectively.



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