GPU's Uses

• What is the primary function of a CPU in a computer system?

  The CPU drives and carries out the overall operations of the system.
• What is a co-processor?

  A co-processor is an additional processor used for a specialized task to improve overall speed.
• What is the most well-known type of co-processor?

  The most well-known type of co-processor is the GPU (graphical processing unit).
• How have GPUs evolved in their use beyond rendering graphics?

  GPUs are now used to process many parallel streams of data, not limited to graphics processing.
• How do the performance characteristics of CPUs and GPUs differ?

  CPUs excel at complex operations on small data sets, while GPUs excel at simple operations on large data sets.
• What type of calculations do GPUs excel at performing?

  GPUs excel at performing calculations on matrices, vectors, and multiple data simultaneously.
• What are the steps involved in rendering a 3D wireframe image?

  • Assign X, Y, and Z coordinates to segments of the image.
  • Assign textures or patterns to each segment.
  • Assign a light source with angle and brightness.
  • Choose a camera source for the image.
  • Perform calculations based on coordinates and RGB values.
  • Generate a 2D representation from the 3D data.
• Why can many calculations in graphical processing be done in parallel?

  The result of one RGB calculation on a pixel is not dependent on the results of any other pixel.
• What does SIMD stand for, and how is it related to GPUs?

  SIMD stands for Single Instruction, Multiple Data, and it allows GPUs to take full advantage of parallel processing capabilities.
• How does the performance of a GPU compare to a CPU in terms of floating point operations?

  A GPU can perform a thousand floating point operations much quicker than a typical CPU due to its design for parallel processing.
• What is GP GPU, and when did it start to gain recognition?

  GP GPU stands for General Purpose Computing on GPU, and it gained recognition around 2006 for processing tasks beyond graphics.
• What are some examples of tasks that can be efficiently performed on GPUs?

  • Oil exploration modeling
  • Weather modeling
  • Machine learning
  • Linear algebra
  • Large statistical analysis
  • Stock option predictions
  • Gravitational field theory
• What key question should you be able to answer after watching the video?

  What are the different characteristics of CPUs versus GPUs and what else besides graphics can GPUs be used for?