Specification of EP3C40Q240C8N | |
---|---|
Status | Active |
Series | Cyclone? III |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 2475 |
Number of Logic Elements/Cells | 39600 |
Total RAM Bits | 1161216 |
Number of I/O | 128 |
Number of Gates | – |
Voltage – Supply | 1.15V ~ 1.25V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 240-BFQFP |
Supplier Device Package | 240-PQFP (32×32) |
Applications
The EP3C40Q240C8N is ideal for high-performance computing environments due to its robust processing capabilities. It excels in server applications where it can handle complex data processing tasks efficiently. Additionally, it is suitable for automotive systems requiring reliable performance under varying conditions, such as extreme temperatures.
Key Advantages
1. Processing Speed: The EP3C40Q240C8N offers a processing speed of up to 300 MHz, making it capable of handling demanding computational tasks quickly.
2. Unique Architecture Feature: It features a multi-core architecture that enhances parallel processing capabilities, improving overall system performance.
3. Power Efficiency: With a power consumption of less than 1W at typical operating conditions, the EP3C40Q240C8N is highly energy-efficient.
4. Certification Standards: It meets various industry certifications, including ISO 9001 and CE, ensuring compliance with international quality and safety standards.
Frequently Asked Questions
Q1: Can the EP3C40Q240C8N be used in high-temperature environments?
A1: Yes, the EP3C40Q240C8N operates within a wide temperature range from -40°C to +85°C, making it suitable for use in high-temperature environments.
Q2: Is the EP3C40Q240C8N compatible with existing hardware?
A2: The EP3C40Q240C8N is backward-compatible with most existing hardware interfaces, allowing for easy integration into new projects without significant modifications.
Q3: In which specific scenarios would you recommend using the EP3C40Q240C8N?
A3: The EP3C40Q240C8N is recommended for scenarios requiring high-speed data processing, such as real-time analytics in financial markets, and in automotive applications for advanced driver assistance systems.
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