Home | deutsch  | Legals | Data Protection | Sitemap | KIT

Automatic Loop Partitioning for Heterogeneous Systems

Automatic Loop Partitioning for Heterogeneous Systems
Type:Bachelorarbeit
Date:14.01.2016
Supervisor:

Dipl.-Inform. Philip Pfaffe
Dipl.-Inform. Martin Tillmann

Person in Charge:Alexander Baier
Add on:

Finished 

Links:PDF

In this work, we implement a tool that automatically partitions loops and then executes these partitions on heterogeneous systems. Partitioning a loop is the process of dividing a loop to form two or more new loops, each iterating over a portion of the original loops iteration space. A heterogeneous system is a system that is equipped with, and uses, different kinds of processing units. An example of this is a system that has access to a CPU and a GPU.