Allicdata Part #: | KMPC860DTCVR66D4-ND |
Manufacturer Part#: |
KMPC860DTCVR66D4 |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | NXP USA Inc |
Short Description: | IC MPU MPC8XX 66MHZ 357BGA |
More Detail: | MPC8xx Microprocessor IC MPC8xx 1 Core, 32-Bit 66M... |
DataSheet: | KMPC860DTCVR66D4 Datasheet/PDF |
Quantity: | 1000 |
1 +: | 0.00000 |
Ethernet: | 10 Mbps (2), 10/100 Mbps (1) |
Base Part Number: | MPC860 |
Additional Interfaces: | HDLC/SDLC, I²C, IrDA, PCMCIA, SPI, TDM, UART/USART |
Supplier Device Package: | 357-PBGA (25x25) |
Package / Case: | 357-BBGA |
Security Features: | -- |
Operating Temperature: | -40°C ~ 95°C (TA) |
Voltage - I/O: | 3.3V |
USB: | -- |
SATA: | -- |
Series: | MPC8xx |
Display & Interface Controllers: | -- |
Graphics Acceleration: | No |
RAM Controllers: | DRAM |
Co-Processors/DSP: | Communications; CPM |
Speed: | 66MHz |
Number of Cores/Bus Width: | 1 Core, 32-Bit |
Core Processor: | MPC8xx |
Part Status: | Obsolete |
Packaging: | Tray |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
The KMPC860DTCVR66D4 is an embedded microprocessor and plays an important role in a variety of industrial and consumer applications. The processor is comprised of several key components, including a central processing unit (CPU), memory, cache, peripheral units, and an interface. It is designed to handle a wide range of tasks, ranging from basic data processing to more complex tasks such as machine learning and artificial intelligence.
The processor is based on an advanced embedded system architecture that combines the performance of a modern CPU with the convenience and flexibility of a multi-threaded environment. This makes it ideal for high-performance embedded computing applications.
The processor is designed to be versatile, allowing it to be optimized for different applications. For example, it can be configured for low power operation, as well as for higher throughput applications.
The processor is based on the PowerPC RISC architecture, which is a modern instruction set architecture (ISA) designed by IBM and Motorola. It is capable of handling 32-bit and 64-bit instructions, which enables the processor to efficiently work with a variety of data types and sizes. The processor can also be adapted to support several different instruction sets, including the classic x86 instruction set.
The processor also features a robust and reliable memory architecture, which helps ensure reliable and efficient memory access. Memory access is further enhanced through support for Virtual Memory Management (VMM) and Data Protection Unit (DPU). This allows applications to remain secure, while also providing protection against malicious applications attempting to take control of the system.
The processor is also designed to be scalable, allowing it to be used with a range of devices and operating systems. This includes embedded systems, PCs, and mobile devices. The processor includes support for APIs, allowing developers to create applications that run on different platforms and devices.
The processor also includes support for multiple interoperability protocols, including the Ethernet, Wi-Fi, USB, and Bluetooth. This enables devices connected to the processor to communicate with each other and with other devices on the network. The processor also provides support for a range of graphics APIs, allowing developers to create immersive graphics applications.
Finally, the processor supports multiple operating systems, allowing a range of applications to run on the same device. This can include embedded systems, PCs, and mobile devices. This is made possible through the processor\'s support for multiple operating systems, including Windows, macOS, Linux, and Android.
In short, the KMPC860DTCVR66D4 is an embedded microprocessor that is capable of providing high performance, versatility, scalability, and security for a range of applications. Its support for multiple operating systems and protocols makes it ideal for a variety of embedded systems and consumer applications. This includes machine learning and artificial intelligence applications.
The specific data is subject to PDF, and the above content is for reference
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