EP20K60EQC240-2

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Mfr.Part #
EP20K60EQC240-2
Manufacturer
Altera (Intel)
Package / Case
240-BQFP
Datasheet
Download
Description
IC FPGA 151 I/O 240QFP
Stock
1,201
In Stock :
1,201

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Manufacturer :
Altera (Intel)
Product Category :
FPGAs (Field Programmable Gate Array)
Peak Reflow Temperature (Cel) :
220
Power Supplies :
1.81.8/3.3V
Series :
APEX-20KE®
Voltage - Supply :
1.71V~1.89V
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Number of Gates :
162000
Reach Compliance Code :
Compliant
RoHS Status :
Non-RoHS Compliant
Mounting Type :
Surface Mount
Total RAM Bits :
32768
Number of Dedicated Inputs :
4
Number of LABs/CLBs :
2560
Package / Case :
240-BQFP
Output Function :
MACROCELL
Programmable Logic Type :
LOADABLE PLD
JESD-609 Code :
e0
Terminal Pitch :
0.5mm
Packaging :
Tray
Base Part Number :
EP20K60
Time@Peak Reflow Temperature-Max (s) :
30
Clock Frequency :
160MHz
Surface Mount :
yes
Width :
32mm
Number of I/O :
151
Length :
32mm
Height Seated (Max) :
4.1mm
Operating Temperature :
0°C~85°C TJ
JESD-30 Code :
S-PQFP-G240
Number of Outputs :
143
Terminal Form :
Gull wing
Number of Inputs :
143
Propagation Delay :
2.41 ns
ECCN Code :
EAR99
Terminal Position :
QUAD
Qualification Status :
Not Qualified
HTS Code :
8542.39.00.01
Terminal Finish :
Tin/Lead (Sn/Pb)
Number of Terminations :
240
Supply Voltage :
1.8V
Introducing FPGAs (Field Programmable Gate Array) Altera (Intel) EP20K60EQC240-2 from Chip IC,where excellence meets affordability. This product stands out with its Mounting Type:Surface Mount, Package / Case:240-BQFP, Base Part Number:EP20K60, Operating Temperature:0°C~85°C TJ, Number of Terminations:240, EP20K60EQC240-2 pinout, EP20K60EQC240-2 datasheet PDF, EP20K60EQC240-2 amp .Beyond FPGAs (Field Programmable Gate Array) Altera (Intel) EP20K60EQC240-2 ,we also offer T35F400C3, T55F324C3, T120F324C3, Our vast inventory has you covered. Contact us now for immediate solutions.

Altera (Intel) EP20K60EQC240-2


FPGAs Altera (Intel) EP20K60EQC240-2 Overview

The FPGAs Altera (Intel) EP20K60EQC240-2 represents a pinnacle in the field of field-programmable gate arrays, developed by the innovative minds at Altera (now part of Intel). This high-performance IC offers a robust design solution for a diverse range of applications requiring quick programmability and efficient operation. Designed with flexibility in mind, it can accommodate multiple design iterations without the need for extensive retooling, making it an ideal choice for industries seeking rapid prototyping and scalable solutions. This FPGA is housed in a 240QFP (Quad Flat Package), providing a compact form factor suitable for space-sensitive applications.

EP20K60EQC240-2 Features

The EP20K60EQC240-2 is equipped with 151 user I/O pins, which allows for versatile interfacing with a wide range of peripheral components. This FPGA is designed for enhanced performance in complex digital computations, data processing, and signal conditioning environments. Its architecture is optimized for minimal power consumption while maintaining maximum functionality. This balance makes the EP20K60EQC240-2 a preferable choice for developers looking to maximize efficiency in high-demand applications.

EP20K60EQC240-2 Applications

  • Consumer Electronics: Used in devices such as digital cameras, gaming consoles, and home entertainment systems to manage signal processing and provide support for high-resolution, high-speed functionalities.
  • Automotive: Integral in driver assistance systems where real-time sensor data processing is crucial for functions such as collision avoidance systems and adaptive cruise control.
  • Telecommunications: Employs its processing capabilities to facilitate high-speed data transmission and switching in networking devices, enhancing bandwidth management and network reliability.
  • Industrial Automation: Serves as a control unit in complex industrial machines, offering the ability to reprogram logic based on variable operational parameters for increased production flexibility.
  • Medical Devices: Applied in medical imaging systems, where its ability to process large volumes of data in real-time can significantly enhance diagnostic capabilities.
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