DocumentCode :
3090833
Title :
Dynamic Load Scheduling on CPU-GPU for Iterative Tomographic Reconstruction
Author :
Agulleiro, J.I. ; Vazquez, Francisco ; Garzón, E.M. ; Fernandez, J. Javier
Author_Institution :
Supercomput. & Algorithms Group, Univ. of Almeria, Almeria, Spain
fYear :
2012
fDate :
10-13 July 2012
Firstpage :
603
Lastpage :
608
Abstract :
This work presents a hybrid computing approach which combines GPUs and multicore processors to fully take advantage of the computing power latent in modern computers. It also presents its application to the problem of tomographic reconstruction. One inherent characteristic of these modern platforms is their heterogeneity, which raises the issue of workload distribution among the different processing elements. Adaptive load balancing techniques are thus necessary to properly adjust the amount of work to be done by each computing element. Here, we have chosen the ´on-demand´ strategy, a well-known technique in the HPC field by which the different elements asynchronously request a piece of work when they become idle, thereby keeping the system fairly well balanced. The results show that our scheme accommodates to the heterogeneous platform where it runs as it assigns more work to the faster processing elements automatically, which allows to correctly exploit all the resources available and to get complete reconstructions in less time than pure CPU or GPU approaches.
Keywords :
graphics processing units; iterative methods; multiprocessing systems; processor scheduling; resource allocation; tomography; CPU-GPU; HPC field; adaptive load balancing technique; computing power; dynamic load scheduling; heterogeneous platform; hybrid computing approach; iterative tomographic reconstruction; modern computer; multicore processor; on-demand strategy; workload distribution; Central Processing Unit; Computers; Graphics processing unit; Instruction sets; Multicore processing; Slabs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing with Applications (ISPA), 2012 IEEE 10th International Symposium on
Conference_Location :
Leganes
Print_ISBN :
978-1-4673-1631-6
Type :
conf
DOI :
10.1109/ISPA.2012.90
Filename :
6280350
Link To Document :
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