8.3. Techniques for Optimizing Efficiency in AI Circuits

Try these first

1. 1.

   What does GPU stand for?

   Hint

   Think about hardware used for graphics.

2. 2.

   What is data parallelism?

   Hint

   Consider how tasks are divided among cores.

3. 3.

   What is a TPU optimized for?

   • A) Graphics processing
   • B) Tensor processing
   • C) General computing

   Hint

   Remember the connection with Google.

4. 4.

   True or False: Model parallelism allows a single device to handle all computations for a large model.

   • True
   • False

   Hint

   Think about resource allocation.

5. 5.

   Analyze a scenario where using ASICs could improve efficiency in a smart home device for personal assistance.

   Hint

   Consider the specific tasks that the device must handle.

6. 6.

   Devise a plan for implementing data and model parallelism in a large-scale deep learning project. Outline potential challenges and solutions.

   Hint

   Think about how to balance workload among resources.