Data transfer bottlenecks

Modern AI algorithms are based on von Neumann architecture. One of the distinctive features of the von Neumann architecture is the separation of the processing unit and the memory. The processing unit is specifically designed to process data according to program instructions, while the memory is designated for holding data.

Since the processing unit is separated from memory, data must be transferred between the two components to facilitate operations. This design is susceptible to various issues.

  1. The need to frequently transfer data between different components can slow down processing speed, hence reducing performance.

  2. Frequent data transfers between the processing unit and memory are vulnerable to errors that may stop the execution of programs. This can hamper proper functioning of automated systems.

  3. The von Neumann architecture is not well suited for executing simultaneous processes. The processing unit is designed to handle only one process at a time, switching between programs.

  4. Energy used to facilitate data transfers between processing units and memory makes the model less energy-efficient.

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