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
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                    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. 
