XC3S400-4FGG320C

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Mfr.Part #
XC3S400-4FGG320C
Manufacturer
AMD Xilinx
Package / Case
320-BGA
Datasheet
Download
Description
IC FPGA 221 I/O 320FBGA
Stock
1
In Stock :
1

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Manufacturer :
AMD Xilinx
Product Category :
FPGAs (Field Programmable Gate Array)
ECCN Code :
3A991.D
RAM Size :
36KB
Package / Case :
320-BGA
Length :
19mm
Peak Reflow Temperature (Cel) :
260
Factory Lead Time :
10 Weeks
Number of CLBs :
896
Mounting Type :
Surface Mount
Packaging :
Tray
Power Supplies :
1.21.2/3.32.5V
Qualification Status :
Not Qualified
Number of Gates :
400000
Number of Outputs :
221
Programmable Logic Type :
FIELD PROGRAMMABLE GATE ARRAY
Base Part Number :
XC3S400
Published :
2009
Number of Pins :
320
Pbfree Code :
yes
Time@Peak Reflow Temperature-Max (s) :
30
Terminal Form :
Ball
Number of I/O :
221
Width :
19mm
Supply Voltage :
1.2V
Pin Count :
320
Terminal Pitch :
1mm
Mount :
Surface Mount
Operating Supply Voltage :
1.2V
Number of Terminations :
320
Number of LABs/CLBs :
896
RoHS Status :
ROHS3 Compliant
JESD-609 Code :
e1
Speed Grade :
4
Operating Temperature :
0°C~85°C TJ
Clock Frequency :
630MHz
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Voltage - Supply :
1.14V~1.26V
Series :
Spartan®-3
Terminal Position :
BOTTOM
Combinatorial Delay of a CLB-Max :
0.61 ns
Height Seated (Max) :
2mm
Number of Logic Elements/Cells :
8064
Total RAM Bits :
294912
Datasheets
XC3S400-4FGG320C
Introducing FPGAs (Field Programmable Gate Array) AMD Xilinx XC3S400-4FGG320C from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:320-BGA, Mounting Type:Surface Mount, Base Part Number:XC3S400, Number of Pins:320, Number of Terminations:320, Operating Temperature:0°C~85°C TJ, XC3S400-4FGG320C pinout, XC3S400-4FGG320C datasheet PDF, XC3S400-4FGG320C amp .Beyond FPGAs (Field Programmable Gate Array) AMD Xilinx XC3S400-4FGG320C ,we also offer T35F400C3, T55F324C3, T120F324C3, Our vast inventory has you covered. Contact us now for immediate solutions.

AMD Xilinx XC3S400-4FGG320C


FPGAs AMD Xilinx XC3S400-4FGG320C Overview

The FPGAs AMD Xilinx XC3S400-4FGG320C is a highly capable integrated circuit developed by AMD Xilinx, tailored for applications requiring a high level of programmability and performance. This Field Programmable Gate Array (FPGA) is part of Xilinx's Spartan-3 series, renowned for their cost-effective solutions in a compact 320FBGA (Fine-Pitch Ball Grid Array) package. This model comes equipped with 221 I/O pins, allowing for versatile connectivity options and integration into a wide array of electronic systems. Its ability to handle complex digital computations and its flexibility make it an ideal choice for designers looking to push the boundaries of product development.

XC3S400-4FGG320C Features

This FPGA model is designed to support various digital processing tasks with its robust architecture. It features a substantial number of I/O ports, a dense 320FBGA package for reduced physical footprint, and configurable logic blocks for tailored utility. The XC3S400-4FGG320C is specifically engineered to deliver high performance with low power consumption, making it suitable for energy-sensitive applications. Its programmability and integration features ensure that it can be adapted to meet evolving technological needs and standards.

XC3S400-4FGG320C Applications

  • Telecommunications: Utilized in signal processing equipment where its high-speed I/O capabilities facilitate rapid data transfer and communication protocol management.
  • Consumer Electronics: Deployed in devices such as high-definition televisions and gaming consoles, where its processing power can handle complex graphics rendering and user interface management.
  • Automotive: Integral to advanced driver-assistance systems (ADAS), providing the necessary computing power to process inputs from multiple sensors for real-time decision making.
  • Industrial: Applied in control systems for machinery and production lines, where customization and adaptability to varied tasks are crucial.
  • Medical Devices: Used in diagnostic equipment, enhancing capabilities for processing and analyzing large volumes of data for better patient outcomes.
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