XC6SLX75-2FGG676C
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- Mfr.Part #
- XC6SLX75-2FGG676C
- Manufacturer
- AMD Xilinx
- Package / Case
- 676-BGA
- Datasheet
- Download
- Description
- IC FPGA 408 I/O 676FBGA
- Stock
- 295
- In Stock ：
- 295
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- Manufacturer :
- AMD Xilinx
- Product Category :
- FPGAs (Field Programmable Gate Array)
- Series :
- Spartan®-6 LX
- Number of Pins :
- 676
- Packaging :
- Tray
- RoHS Status :
- ROHS3 Compliant
- Operating Temperature :
- 0°C~85°C TJ
- Base Part Number :
- XC6SLX75
- Terminal Position :
- BOTTOM
- Package / Case :
- 676-BGA
- Number of Outputs :
- 400
- JESD-609 Code :
- e1
- Number of I/O :
- 408
- Moisture Sensitivity Level (MSL) :
- 3 (168 Hours)
- Number of Registers :
- 93296
- Total RAM Bits :
- 3170304
- Terminal Finish :
- Tin/Silver/Copper (Sn96.5Ag3.0Cu0.5)
- Width :
- 27mm
- Factory Lead Time :
- 10 Weeks
- ECCN Code :
- 3A991.D
- Clock Frequency :
- 667MHz
- Published :
- 2008
- Qualification Status :
- Not Qualified
- RAM Size :
- 387kB
- Number of LABs/CLBs :
- 5831
- Speed Grade :
- 2
- Peak Reflow Temperature (Cel) :
- 250
- Terminal Form :
- Ball
- Pin Count :
- 676
- Pbfree Code :
- yes
- Supply Voltage :
- 1.2V
- Voltage - Supply :
- 1.14V~1.26V
- Number of Logic Elements/Cells :
- 74637
- Terminal Pitch :
- 1mm
- Number of Terminations :
- 676
- Time@Peak Reflow Temperature-Max (s) :
- 30
- Mount :
- Surface Mount
- Length :
- 27mm
- Programmable Logic Type :
- FIELD PROGRAMMABLE GATE ARRAY
- Height :
- 1.84mm
- Mounting Type :
- Surface Mount
- Datasheets
- XC6SLX75-2FGG676C
FPGAs AMD Xilinx XC6SLX75-2FGG676C Overview
The FPGAs AMD Xilinx XC6SLX75-2FGG676C is a high-performance, field-programmable gate array that is part of AMD Xilinx's Spartan-6 series. This integrated circuit is engineered to meet the demanding requirements of high-speed digital processing and control applications. With its 676-pin FBGA (Fine-pitch Ball Grid Array) packaging, the XC6SLX75-2FGG676C provides robust I/O capabilities with 408 programmable I/O lines. This makes it exceptionally versatile for a range of industrial applications, including communications, automotive systems, and consumer electronics, where high data throughput and flexibility are critical. Utilizing advanced 45 nm technology, this FPGA offers an optimal balance of cost, performance, and power efficiency, making it an ideal choice for developers looking to innovate and scale their product designs.
XC6SLX75-2FGG676C Features
The XC6SLX75-2FGG676C FPGA boasts a variety of features that enhance its applicability across different sectors. Key attributes include a high-density layout with 147,433 logic cells and support for DSP48A1 slices, which are crucial for digital signal processing tasks. Additionally, it supports advanced memory technologies including integrated block RAM, enabling efficient data management and storage solutions. Its capability for PCIe connectivity further enhances its use in data-intensive applications, providing high-speed data transfer rates essential for modern computing environments.
XC6SLX75-2FGG676C Applications
- Telecommunications Equipment: Utilized in routers and switches, the XC6SLX75-2FGG676C enhances data flow management and signal integrity, crucial for maintaining robust network performance.
- Automotive Electronics: Deployed in vehicle infotainment systems and advanced driver-assistance systems (ADAS), this FPGA supports complex, real-time signal processing tasks that enhance both entertainment and safety features in modern vehicles.
- Consumer Electronics: Used in high-definition video devices, gaming consoles, and smart home systems, the XC6SLX75-2FGG676C provides the necessary processing power and connectivity options to handle intensive multimedia tasks and user interfaces.
- Industrial Automation: Ideal for controlling machinery and processes, this FPGA can manage multiple input/output operations and real-time data processing, increasing the efficiency and reliability of automated systems.
- Medical Devices: In medical imaging systems, such as ultrasound and MRI machines, the XC6SLX75-2FGG676C's capabilities in handling complex algorithms and data sets can significantly improve the quality and speed of diagnostic imaging.
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