EPM9320LI84-15
EPM9320LI84-15
Image shown is a representation only, Exact specifications should be obtained from the product data sheet.
rohs

Altera Corporation

EPM9320LI84-15


EPM9320LI84-15
F53-EPM9320LI84-15
Active
EE PLD, 16 ns, 320-Cell, CMOS, QCCJ, LDCC84,1.2SQ
QCCJ, LDCC84,1.2SQ

EPM9320LI84-15 ECAD Model


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EPM9320LI84-15 Attributes


Type Description Select
Pbfree Code No
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 5 V
Propagation Delay 16 ns
Number of Macro Cells 320
Number of I/O Lines 60
Programmable Logic Type EE PLD
Temperature Grade INDUSTRIAL
Package Shape SQUARE
Technology CMOS
Organization 0 DEDICATED INPUTS, 60 I/O
Additional Feature 320 MACROCELLS
Clock Frequency-Max 117.6 MHz
In-System Programmable YES
JTAG BST YES
Output Function MACROCELL
Power Supplies 3.3/5,5 V
Supply Voltage-Max 5.5 V
Supply Voltage-Min 4.5 V
JESD-30 Code S-PQCC-J84
Qualification Status Not Qualified
JESD-609 Code e0
Operating Temperature-Max 85 °C
Operating Temperature-Min -40 °C
Peak Reflow Temperature (Cel) 220
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 ALTERA CORP
Part Package Code LCC
Package Description QCCJ, LDCC84,1.2SQ
Pin Count 84
Reach Compliance Code compliant
HTS Code 8542.39.00.01

EPM9320LI84-15 Datasheet Download


EPM9320LI84-15 Overview



The chip model EPM9320LI84-15 is a cutting-edge, highly-integrated, low-power, and low-cost model designed by Altera Corporation. It is suitable for applications in communications, industrial, automotive, consumer, and other fields. This model adopts a unique architecture, which integrates a variety of components such as memory, logic, and analog components into a single chip.


In terms of industry trends, the chip model EPM9320LI84-15 can be used in a wide range of applications, including the development of advanced communication systems, the upgrade of existing systems, and the development and popularization of future intelligent robots. It is a versatile and powerful model that can meet the needs of various industries.


In terms of the future development of related industries, the chip model EPM9320LI84-15 can provide strong support for the application environment, and it is necessary to consider what specific technologies are needed. For example, the chip model can be used in the development of advanced communication systems, so it is necessary to consider the use of wireless communication technology, network optimization technology, and other related technologies. In addition, if it is used in the development and popularization of intelligent robots, then the use of artificial intelligence technology, machine learning technology, and other related technologies should be taken into consideration.


In terms of the original design intention of the chip model EPM9320LI84-15 and the possibility of future upgrades, this model is designed to provide a high level of integration, low power consumption, and low cost. It is also designed to be easily upgradeable, so that it can keep up with the development of new technologies. Therefore, it is possible to upgrade the chip model in the future to meet the needs of new applications.


Finally, in terms of the technical talents needed to use the chip model EPM9320LI84-15 effectively, the user must have a certain understanding of the architecture and components of the chip model, as well as the knowledge of the related technologies. For example, if the chip model is used in the development of advanced communication systems, then the user must have a certain understanding of wireless communication technology, network optimization technology, and other related technologies. Similarly, if the chip model is used in the development and popularization of intelligent robots, then the user must have a certain understanding of artificial intelligence technology, machine learning technology, and other related technologies.



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