MIMD Definition
MIMD (Multiple Instruction Multiple Data) is a method used to achieve parallelism. Machines that use MIMD have several processors that operate asynchronously and independently. At any time, any processor can execute different instructions on different data. The use of MIMD architecture is in a wide range of applications such as assisted design, simulation, modeling, and switches.
[MIMD] computers can be categorized by having shared or distributed memory. A classification that is based on how the MIMD processor accesses memory. The shared memory of the machines can be based on buses, extensions, or hierarchical types. Machines with distributed memory can have interconnection schemes in hypercube or mesh.
Features of MIMD
- [MIMD] computers are more flexible than SIMD or MISD computers. But it’s more challenging to create complex algorithms that make these computers work.
- Single Program, Multiple Data (SPMD) systems are a subset of MIMDs. The structure of an SPMD computer is like a MIMD, but it runs the same set of instructions across all processors.
- The MIMD Multiple Instruction Multiple Data (MIMD) computing architecture is the most powerful of the four single and multiple-instruction computing architectures SISD, SIMD, MISD, and [MIMD].
MIMD Systems
The individual sub- computers can optimize in terms of their computer architecture and implement as Single Instruction Single Data (SISD), Single Instruction Multiple Data (SIMD), or as [MIMD] architecture. In the [MIMD] architecture, each processor receives its commands and has its memory for storage.
- The computer architecture uses On processors, vector processors or even processors in RISC architecture.
- This parallel computer architecture is mighty, and scientific computers use it. Due to the high flexibility, programming is correspondingly complex.
- Regarding storage concepts, it makes a distinction between uniform memory access (UMA) with shared address space and access time that is independent of the address.
The non-uniform memory access (NUMA), depending on the memory access models, in which the access time depends on the memory address. And also the No Remote Memory Access (NORMA), which works with a programmatically distributed memory.