
Altera Corporation
EPM9320LI84-15
EPM9320LI84-15 ECAD Model
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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