EPM5130GC-2
EPM5130GC-2
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rohs

Altera Corporation

EPM5130GC-2


EPM5130GC-2
F53-EPM5130GC-2
Active
UV PLD, 45 ns, 128-Cell, CMOS, PGA, PGA100M,13X13
PGA, PGA100M,13X13

EPM5130GC-2 ECAD Model


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EPM5130GC-2 Attributes


Type Description Select
Pbfree Code No
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 5 V
Propagation Delay 45 ns
Number of Dedicated Inputs 19
Number of Macro Cells 128
Number of I/O Lines 64
Programmable Logic Type UV PLD
Temperature Grade COMMERCIAL
Package Shape SQUARE
Technology CMOS
Organization 19 DEDICATED INPUTS, 64 I/O
Additional Feature LABS INTERCONNECTED BY PIA; 8 LABS; 128 MACROCELLS; 1 EXTERNAL CLOCK; SHARED INPUT/CLOCK... more
Clock Frequency-Max 40 MHz
In-System Programmable NO
JTAG BST NO
Output Function MACROCELL
Power Supplies 5 V
Supply Voltage-Max 5.25 V
Supply Voltage-Min 4.75 V
JESD-30 Code S-CPGA-P100
Qualification Status Not Qualified
JESD-609 Code e0
Moisture Sensitivity Level 1
Operating Temperature-Max 70 °C
Peak Reflow Temperature (Cel) 220
Number of Terminals 100
Package Body Material CERAMIC, METAL-SEALED COFIRED
Package Code PGA
Package Equivalence Code PGA100M,13X13
Package Shape SQUARE
Package Style GRID ARRAY
Surface Mount NO
Terminal Finish TIN LEAD
Terminal Form PIN/PEG
Terminal Pitch 2.54 mm
Terminal Position PERPENDICULAR
Ihs Manufacturer ALTERA CORP
Part Package Code PGA
Package Description PGA, PGA100M,13X13
Pin Count 100
Reach Compliance Code unknown
HTS Code 8542.39.00.01

EPM5130GC-2 Datasheet Download


EPM5130GC-2 Overview



The chip model EPM5130GC-2 is a cutting-edge semiconductor device that is used in a wide variety of applications, ranging from consumer electronics to industrial and automotive applications. This model is a high-performance, low-power solution that offers a wide range of features and functions, including high-speed data processing, low power consumption, and low cost.


The EPM5130GC-2 chip model has been gaining traction in the industry due to its cost-effectiveness, high performance, and low power consumption. This chip model is being increasingly adopted by a wide range of industries, such as automotive, industrial, and consumer electronics. The chip model is also being used in advanced applications such as smart home systems, Internet of Things (IoT) devices, and autonomous vehicles.


The industry trends in the chip model EPM5130GC-2 are expected to remain strong in the future. This chip model is expected to be in high demand due to its cost-effectiveness and high performance. The demand for this chip model is expected to increase in the automotive, industrial, and consumer electronics industries. The chip model is also expected to be used in advanced applications such as smart home systems, IoT devices, and autonomous vehicles.


In the future, the chip model EPM5130GC-2 is expected to be used in more intelligent scenarios. This chip model is expected to be used in networks and in the era of fully intelligent systems. It is expected that the chip model will be used to enable a wide range of applications, such as self-driving cars, smart homes, and smart cities. This chip model is expected to be used in a wide range of intelligent systems, such as facial recognition, natural language processing, and machine learning.


The chip model EPM5130GC-2 is expected to require the support of new technologies in order to be used in these intelligent scenarios. This chip model is expected to require the support of advanced technologies such as artificial intelligence, machine learning, and natural language processing. This chip model is also expected to require the support of advanced networking technologies, such as 5G and Wi-Fi 6.


In conclusion, the chip model EPM5130GC-2 is expected to remain in high demand in the future due to its cost-effectiveness and high performance. The chip model is expected to be used in a wide range of industries and applications, such as automotive, industrial, consumer electronics, and smart home systems. The chip model is also expected to be used in more intelligent scenarios and will require the support of new technologies, such as artificial intelligence, machine learning, and natural language processing.



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