NDLI: The GAP project - GPU for real-time applications in high energy physics and medical imaging

Content Provider	IEEE Xplore Digital Library
Author	Bauce, M. Capuani, S. Di Domenico, G. Fiorini, M. Giagu, S. Lamanna, G. Messina, A. Palombo, M. Rescigno, M.
Copyright Year	2014
Description	Author affiliation: Univ. of Ferrara, Ferrara, Italy (Di Domenico, G.; Fiorini, M.) \|\| INFN, Rome, Italy (Rescigno, M.) \|\| Univ. of Rome, Sapienza, Italy (Bauce, M.; Giagu, S.; Messina, A.; Palombo, M.) \|\| CNR, Rome, Italy (Capuani, S.) \|\| INFN, Pisa, Italy (Lamanna, G.)
Abstract	The GAP project aims at the deployment of Graphic Processing Units (GPU) in real-time applications, ranging from online event selection (trigger) in high-energy physics experiments to medical imaging reconstruction. The final goal of the project is to demonstrate that GPUs can have a positive impact in sectors different for rate, bandwidth, and computing intensity. The relevant aspects under study are the analysis of the total latency of the system, the optimization of the computational algorithms, and the integration with the data acquisition system. In this contribution we report on the application of GPUs for trigger selections in particle physics experiments, and for the reconstruction of medical images acquired by a nuclear magnetic resonance system. In particular we discuss how specific trigger algorithms can be naturally parallelized and thus benefit from the implementation on the GPU architecture, in terms of execution speed and complexity of the analyzed events. As a benchmark application we consider the trigger algorithms of two different particle physics experiment: NA62 and Atlas, two different combination of event complexity and processing latency requirements. The fast and parallel execution of the trigger algorithm can improve the resolution of the calculated relevant quantities, that will enrich the purity of the collected data sample. The stability of this solution for increasing complexity of the analyzed events is particularly relevant for its application in the upcoming physics experiment. Most of the future accelerator machine upgrades will push further the rate of data to be processed, hence the GPU can provide a feasible solution to maintain sustainable trigger rates. A similar approach can be applied to medical imaging, with particular reference to NMR scan reconstruction with the kurtosis diffusion method. This recently developed technique is based on computationally very intense algorithms performed thousands of times to reconstruct image properties with a good resolution. The implementation of this elaboration on GPUs can significantly reduce the processing time, making it suitable for the use in real-time diagnostic.
Starting Page	1
Ending Page	5
File Size	414546
Page Count	5
File Format	PDF
e-ISBN	9781479936595
DOI	10.1109/RTC.2014.7097481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-26
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Image reconstruction Physics Nuclear magnetic resonance Software algorithms Biomedical imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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