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10AS032H3F35E2LG

1152 TerminationsSystem On Chip0.9V


  • Manufacturer: Altera
  • Nocochips NO: 2936-10AS032H3F35E2LG
  • Package: -
  • Datasheet: PDF
  • Stock: 150
  • Description: 1152 TerminationsSystem On Chip0.9V (Kg)

Details

Tags

Parameters
Factory Lead Time 1 Week
Surface Mount YES
Published 2016
Number of Terminations 1152
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 1mm
Time@Peak Reflow Temperature-Max (s) NOT SPECIFIED
JESD-30 Code S-PBGA-B1152
Number of Outputs 384
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 384
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Number of Logic Cells 320000
Height Seated (Max) 3.5mm
Length 35mm
Width 35mm
RoHS Status Non-RoHS Compliant

This SoC is built on core processor(s).


A 0.9V power supply should be used.For the SoCs wireless, a voltage higher than 0.93V is considered unsafe.It can feed on a power supply of at least 0.87V.A re-configurable FIELD PROGRAMMABLE GATE ARRAY can be used for a variety of designing purposes.system on a chip benefits from 1152 terminations.Furthermore, it has a remarkable system on a chip capability, much like other high-quality Field Programmable Gate Arrays.A SoC chip with 384 outputs is available.In order to use system on chip, you will need a power supply of 0.9V.On the SoC chip, there are 384 inputs available for use.The logic SoC features 320000 logic cells.A temperature increase over 100°C may compromise the performance of this SoC on chip.

processor.



There are a lot of Altera


10AS032H3F35E2LG System On Chip (SoC) applications.

  • Special Issue Editors
  • Measurement testers
  • Wireless networking
  • Temperature
  • Optical drive
  • Personal Computers
  • Sensor network-on-chip (sNoC)
  • USB hard disk enclosure
  • Deep learning hardware
  • Networked sensors

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