Title :
Recursion-driven parallel code generation for multi-core platforms
Author :
Collins, Rebecca L. ; Vellore, Bharadwaj ; Carloni, Luca P.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
We present Huckleberry, a tool for automatically generating parallel implementations for multi-core platforms from sequential recursive divide-and-conquer programs. The recursive programming model is a good match for parallel systems because it highlights the temporal and spatial locality of data use. Recursive algorithms are used by Huckleberry´s code generator not only to automatically divide a problem up into smaller tasks, but also to derive lower-level parts of the implementation, such as data distribution and inter-core synchronization mechanisms. We apply Huckleberry to a multi-core platform based on the Cell BE processor and show how it generates parallel code for a variety of sequential benchmarks.
Keywords :
multiprocessing systems; parallel programming; program compilers; Cell BE processor; Huckleberry code generator; data distribution; inter-core synchronization mechanism; multicore platforms; recursion-driven parallel code generation; recursive programming model; sequential benchmarks; sequential recursive divide-and-conquer programs; Abstracts; Computer science; Design optimization; Libraries; Multicore processing; Network-on-a-chip; Parallel programming; Partitioning algorithms; Power system modeling; Programming profession;
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2010
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-7054-9
DOI :
10.1109/DATE.2010.5457214