Exploiting GPUs for compute-intensive medical applications

Yaser Jararweh; Moath Jarrah; Salim Hariri

doi:10.1109/ICMCS.2012.6320262

Exploiting GPUs for compute-intensive medical applications

Yaser Jararweh, Moath Jarrah, Salim Hariri

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

Medical applications are compute and data intensive applications. The complex mathematical models and differential equations in the medical domain require huge computations. Cardiac simulation is one example of such compute-intensive application. In this work, we present an evaluation study for porting the cardiac simulator to the high performance GPUs accelerators. We also conducted a comparative evaluation for using conventional computing platforms: a single CPU and a CPU Cluster system. Our study shows that tremendous speed-up gain can be achieved using GPU-based system over cluster-based system or single CPU systems.

Original language	English (US)
Title of host publication	Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012
Pages	29-34
Number of pages	6
DOIs	https://doi.org/10.1109/ICMCS.2012.6320262
State	Published - 2012
Event	2012 International Conference on Multimedia Computing and Systems, ICMCS 2012 - Tangiers, Morocco Duration: May 10 2012 → May 12 2012

Publication series

Name	Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012

Other

Other	2012 International Conference on Multimedia Computing and Systems, ICMCS 2012
Country/Territory	Morocco
City	Tangiers
Period	5/10/12 → 5/12/12

Keywords

Cluster Computing system
Differential equations solvers
GPU
Human heart simulation
Medical application
Performance Evaluation

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software

Access to Document

10.1109/ICMCS.2012.6320262

Cite this

Jararweh, Y., Jarrah, M., & Hariri, S. (2012). Exploiting GPUs for compute-intensive medical applications. In Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012 (pp. 29-34). Article 6320262 (Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012). https://doi.org/10.1109/ICMCS.2012.6320262

Exploiting GPUs for compute-intensive medical applications. / Jararweh, Yaser; Jarrah, Moath; Hariri, Salim.
Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012. 2012. p. 29-34 6320262 (Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jararweh, Y, Jarrah, M & Hariri, S 2012, Exploiting GPUs for compute-intensive medical applications. in Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012., 6320262, Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012, pp. 29-34, 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012, Tangiers, Morocco, 5/10/12. https://doi.org/10.1109/ICMCS.2012.6320262

@inproceedings{10e1db1bdd62454983423733b9615dda,

title = "Exploiting GPUs for compute-intensive medical applications",

abstract = "Medical applications are compute and data intensive applications. The complex mathematical models and differential equations in the medical domain require huge computations. Cardiac simulation is one example of such compute-intensive application. In this work, we present an evaluation study for porting the cardiac simulator to the high performance GPUs accelerators. We also conducted a comparative evaluation for using conventional computing platforms: a single CPU and a CPU Cluster system. Our study shows that tremendous speed-up gain can be achieved using GPU-based system over cluster-based system or single CPU systems.",

keywords = "Cluster Computing system, Differential equations solvers, GPU, Human heart simulation, Medical application, Performance Evaluation",

author = "Yaser Jararweh and Moath Jarrah and Salim Hariri",

year = "2012",

doi = "10.1109/ICMCS.2012.6320262",

language = "English (US)",

isbn = "9781467315203",

series = "Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012",

pages = "29--34",

booktitle = "Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012",

note = "2012 International Conference on Multimedia Computing and Systems, ICMCS 2012 ; Conference date: 10-05-2012 Through 12-05-2012",

}

TY - GEN

T1 - Exploiting GPUs for compute-intensive medical applications

AU - Jararweh, Yaser

AU - Jarrah, Moath

AU - Hariri, Salim

PY - 2012

Y1 - 2012

N2 - Medical applications are compute and data intensive applications. The complex mathematical models and differential equations in the medical domain require huge computations. Cardiac simulation is one example of such compute-intensive application. In this work, we present an evaluation study for porting the cardiac simulator to the high performance GPUs accelerators. We also conducted a comparative evaluation for using conventional computing platforms: a single CPU and a CPU Cluster system. Our study shows that tremendous speed-up gain can be achieved using GPU-based system over cluster-based system or single CPU systems.

AB - Medical applications are compute and data intensive applications. The complex mathematical models and differential equations in the medical domain require huge computations. Cardiac simulation is one example of such compute-intensive application. In this work, we present an evaluation study for porting the cardiac simulator to the high performance GPUs accelerators. We also conducted a comparative evaluation for using conventional computing platforms: a single CPU and a CPU Cluster system. Our study shows that tremendous speed-up gain can be achieved using GPU-based system over cluster-based system or single CPU systems.

KW - Cluster Computing system

KW - Differential equations solvers

KW - GPU

KW - Human heart simulation

KW - Medical application

KW - Performance Evaluation

UR - http://www.scopus.com/inward/record.url?scp=84869859608&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84869859608&partnerID=8YFLogxK

U2 - 10.1109/ICMCS.2012.6320262

DO - 10.1109/ICMCS.2012.6320262

M3 - Conference contribution

AN - SCOPUS:84869859608

SN - 9781467315203

T3 - Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012

SP - 29

EP - 34

BT - Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012

T2 - 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012

Y2 - 10 May 2012 through 12 May 2012

ER -

Exploiting GPUs for compute-intensive medical applications

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this