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10AS022C4U19E3LG

484 TerminationsSystem On Chip0.9V


  • Manufacturer: Altera
  • Nocochips NO: 2936-10AS022C4U19E3LG
  • Package: -
  • Datasheet: PDF
  • Stock: 552
  • Description: 484 TerminationsSystem On Chip0.9V (Kg)

Details

Tags

Parameters
Factory Lead Time 1 Week
Surface Mount YES
Published 2016
Part Status Active
Number of Terminations 484
HTS Code 8542.39.00.01
Subcategory Field Programmable Gate Arrays
Technology CMOS
Terminal Position BOTTOM
Terminal Form BALL
Peak Reflow Temperature (Cel) NOT SPECIFIED
Supply Voltage 0.9V
Terminal Pitch 0.8mm
Time@Peak Reflow Temperature-Max (s) NOT SPECIFIED
JESD-30 Code S-PBGA-B484
Number of Outputs 192
Qualification Status Not Qualified
Operating Temperature (Max) 100°C
Supply Voltage-Max (Vsup) 0.93V
Power Supplies 0.9V
Temperature Grade OTHER
Supply Voltage-Min (Vsup) 0.87V
Number of Inputs 192
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Number of Logic Cells 220000
Height Seated (Max) 3.25mm
Length 19mm
Width 19mm
RoHS Status Non-RoHS Compliant

This SoC is built on core processor(s).


Use a power supply with a voltage of 0.9V if possible.It is unsafe to operate the SoCs wireless at voltages above 0.93V.As a minimum, the power supply of the SoC system on a chip needs to be 0.87V.A re-configurable FIELD PROGRAMMABLE GATE ARRAY can be used for a variety of designing purposes.As a result, there are 484 terminations in total, which does really benefit system on a chip.There is no doubt that this system on a chip is outstanding, just as other high-quality Field Programmable Gate Arrays will do.There is the option to have 192 outputs on this SoC chip.This system on chip SoC requires 0.9V power supply at all.This SoC chip is equipped with 192 inputs for the user to choose from.In logic system on chips, there are 220000 logic cells.Temps above 100°C may negatively affect the SoC on chip's performance.

processor.



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10AS022C4U19E3LG System On Chip (SoC) applications.

  • Wireless sensor networks
  • Temperature Sensors
  • Efficient hardware for inference of neural networks
  • AC drive control module
  • Digital Signal Processing
  • Efficient hardware for training of neural networks
  • Wireless networking
  • Healthcare
  • Special Issue Information
  • Networked sensors

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