CHAPTER 11
Optimizing for Parallelism and Locality
This chapter shows how a compiler can enhance parallelism and locality in computationally intensive programs involving arrays to speed up target programs running on multiprocessor systems. Many scientific, engineering, and commercial applications have an insatiable need for computational cycles. Examples include weather prediction, protein-folding for designing drugs, fluid-dynamics for designing aeropropulsion systems, and quantum chromodynamics for studying the strong interactions in high-energy physics.
One way to speed up a computation is to use parallelism. Unfortunately, it is not easy to develop software that can take advantage of parallel machines. Dividing the computation into units ...
Get Compilers: Principles, Techniques, and Tools, Updated 2nd Edition by Pearson now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
