Introduction to Parallel Programming video lecture series – Part 01 “Why Parallel? Why Now?”

The lecture given here is the first part in the “Introduction to Parallel Programming” video series. This part endeavors to define parallel computing, explain why parallel computing is becoming mainstream, and explain why explicit parallel programming is necessary. This part sets the tone for the other 11 parts in the series.

Running time: 9:51

Optimize Code for the Most-Often Used Code Path


Overcome the limitation of optimizing compilers in terms of not knowing which code-execution path is most likely to be used. For example, an optimizer can refine a long series of if statements and have it run at great speed; but if it does not know that in the majority of runs, the very last test is the one that is run, the optimizer cannot rearrange the sequence for best possible performance. It has to work on the assumption that all if tests in the sequence are equally probable.

  • Execution
  • performance optimization
  • Informatique parallèle
  • S’abonner à Execution