Specification of XC7S100-2FGGA484C | |
---|---|
Status | Active |
Series | Spartan?-7 |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 8000 |
Number of Logic Elements/Cells | 102400 |
Total RAM Bits | 4423680 |
Number of I/O | 338 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 484-BGA |
Supplier Device Package | 484-FPBGA (23×23) |
Applications
The XC7S100-2FGGA484C is ideal for high-performance computing environments due to its robust processing capabilities. It excels in applications such as deep learning inference, where it can handle complex neural network computations efficiently. In automotive applications, it supports advanced driver assistance systems (ADAS) by providing fast and reliable processing for sensor fusion algorithms. Additionally, it is suitable for industrial automation, enabling precise control systems that require high-speed data processing.
Key Advantages
1. Operating Temperature Range: -40°C to +85°C
2. Unique Architecture Feature: Integration of ARM Cortex-A9 Processor
3. Power Efficiency: 1.5W at 1GHz clock speed
4. Certification Standards: CE, FCC, RoHS
Frequently Asked Questions
Q1: Can the XC7S100-2FGGA484C be used in extreme temperatures?
A1: Yes, it operates within a wide range from -40°C to +85°C, making it suitable for various environmental conditions.
Q2: Is there any specific software support required for this device?
A2: The XC7S100-2FGGA484C comes with a comprehensive set of development tools and libraries, including a dedicated SDK for easy integration into existing projects.
Q3: How does the XC7S100-2FGGA484C perform in high-load scenarios?
A3: The device maintains consistent performance even under high load conditions, thanks to its powerful processing unit and efficient power management features.
Other people’s search terms
– High-performance computing solutions
– Automotive ADAS processors
– Industrial automation controllers
– Deep learning inference engines
– Robust embedded systems