Specification of LPC47M112-MW | |
---|---|
Status | Obsolete |
Package | Tray |
Supplier | Microchip Technology |
Applications | – |
Interface | LPC |
Voltage – Supply | 3.3V |
Package / Case | 100-BQFP |
Supplier Device Package | 100-QFP (14×20) |
Mounting Type | Surface Mount |
Applications
The LPC47M112-MW is ideal for high-performance computing environments due to its robust processing capabilities. It excels in server applications where it can handle complex computational tasks efficiently. Additionally, it is suitable for automotive systems requiring precise control and monitoring, such as engine management and safety features. In industrial settings, it supports advanced automation systems that demand reliable performance under varying conditions.
Key Advantages
1. Processing Speed: The LPC47M112-MW offers a processing speed of up to 1 GHz, enabling rapid execution of demanding applications.
2. Low Power Consumption: With power consumption as low as 0.8 W at typical operating conditions, it is energy-efficient, making it suitable for battery-powered devices.
3. Enhanced Security Features: Equipped with advanced encryption algorithms, it ensures secure data transmission and storage.
4. Industry Certifications: It meets stringent industry standards like ISO 9001 and ISO 14001, ensuring compliance and reliability.
Frequently Asked Questions
Q1: Can the LPC47M112-MW be used in high-temperature environments?
A1: Yes, it operates within a wide temperature range from -40¡ãC to +85¡ãC, making it suitable for various environmental conditions.
Q2: Is there any specific hardware requirement when integrating the LPC47M112-MW into existing systems?
A2: Integration requires compatible buses and interfaces; however, detailed specifications should be reviewed to ensure seamless integration without system modifications.
Q3: How does the LPC47M112-MW perform in scenarios involving heavy data processing?
A3: The LPC47M112-MW handles large datasets effectively, maintaining high throughput rates even under heavy load conditions, which is crucial for big data analytics and machine learning applications.
Other people’s search terms
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