D201376  METSO 分布式单元处理器板

A413188

D201376 distributed processing and Parallel processing are two different architectures that are used to improve the speed of parallel processing. Distributed processor is a computer system that connects multiple computers in different locations, or with different functions, or with different data through a communication network and coordinates large-scale information processing tasks under the unified management control of the control system.
D201376 distributed processing and Parallel processing are two different architectures that are used to improve the speed of parallel processing.
Parallel processing is a computer system that uses multiple functional components or multiple processors to work simultaneously to improve the performance or reliability of the system, which at least includes parallelism at the instruction level or above.
D201376 distributed processor is a computer system that connects multiple computers in different locations, or with different functions, or with different data through a communication network and coordinates large-scale information processing tasks under the unified management control of the control system.
For complex high-performance automation systems, such as automatic steelmaking systems, automatic steel rolling systems, high-speed and high-precision CNC device systems, etc., for information processing and control systems requiring high-speed real-time response, such as aerospace communication systems, modern civil aviation aircraft airborne automatic information processing and control systems, industrial robot systems, etc., Often a computer system composed mainly of a single microprocessor can not meet the requirements of the whole information and control system. The computer system composed of multi-microprocessors with relatively dispersed functions can meet the overall requirements of the above system well.
D201376 system designers usually divide the function of the whole system into several relatively independent sub-systems (or sub-modules), so that each processor in the multiprocessor system corresponds to its sub-system and undertakes the information processing task of the predetermined functional unit of its sub-system, and can also appropriately share the task assigned by some system control functional units. When the whole system is running, each processor subsystem can carry out the information transmission control and processing in parallel and independently. In this way, the integrated real-time response ability of the total system is improved, the throughput and speed of data processing are increased, and its reliability and overall function are also strengthened.
The hardware components and software modules in the D201376 system are closely integrated and support each other. Although the specific hardware components and software modules in the system are decentralized and hierarchical task management, the hardware components and software modules constitute the whole system as a whole and are intrinsically connected. This not only enhances the expansibility and flexibility of the software and hardware of the system, but also enhances the universality and integrity of the system.