7. Parallel Processing Architectures for AI

Try these first

1. 1.

   What does SIMD stand for?

   Hint

   Focus on the type of instruction and data usage.

2. 2.

   Define parallel processing in the context of AI.

   Hint

   Think about why speed is important for AI.

3. 3.

   What does MIMD stand for?

   • Multiple Instruction
   • Multiple Data
   • Single Instruction
   • Multiple Data
   • Multi-Processor
   • Independent Data

   Hint

   Focus on the multiple instructions.

4. 4.

   True or False: Data parallelism involves multiple processors performing distinct tasks on the same data.

   • True
   • False

   Hint

   Consider how the processors share tasks.

5. 5.

   Consider a parallel processing system designed for deep learning. How would adding more GPUs impact performance based on Amdahl’s Law?

   Hint

   Evaluate the balance between parallel and sequential tasks.

6. 6.

   Discuss how memory architecture impacts the efficiency of parallel processing in AI applications.

   Hint

   Think about data transfer rates and storage setups.