Goals

• Project

  • Gain experience parallelizing a real world code

  • Identify changes need to acheive significant performance benefit via parallelization

• Readings / Discussions

  • Describe how GPU differs from CPU

  • Assess the prospects for a given algorithm to achieve a significant speed-up using a GPU

Readings

• Prior to Monday's class

  • An Introduction to GPU Programming from UC Berkeleys' CS 267

  • Introduction to GPU Programming in Julia

Lab

Lab 8: Parallel Programming III: GPUs & Other Hardware Accelerators (due Nov 8)

• Exercise 1: Getting Setup for GPU Computing & Linear Algebra

• Exercise 2: GPU Kernels & Array Programming

Additional Resources

• Week 10, Monday Discussion: GPU Computing