NDLI: Practical Considerations in Applying Compressed Sensing to Simulation Data

Content Provider	IEEE Xplore Digital Library
Author	Ya Ju Fan Kamath, C.
Copyright Year	2015
Description	Author affiliation: Lawrence Livermore Nat. Lab., Livermore, CA, USA (Ya Ju Fan; Kamath, C.)
Abstract	The move toward exascale computing for scientific simulations is placing new demands on compression techniques. It is expected that the I/O system will not be able to support the volume of data that will be written out. To enable quantitative analysis and scientific discovery, we need techniques that can compress high-dimensional simulation data with near-perfect reconstruction. In this work, we investigate Compressed Sensing (CS) to reduce the size of the data from a fusion simulation of a tokamak in 3 dimensions (Figure (a)). The computational domain of the simulation is a toroid, composed of 32 poloidal planes (shown in blue). Each plane has nearly 600,000 grid points, arranged irregularly, and distributed across multiple processors of a massively parallel system. Since these data are analyzed to understand the behavior of coherent structures (Figure (b)) over time, it is important that these structures remain unchanged after reconstruction using CS. We conducted several experiments to understand how best to apply CS to our data set. We used several metrics to investigate the effects of preprocessing, including scaling to improve the contrast in the data and thresholding to increase the sparsity. To determine the size of the compressed data that would enable near-perfect reconstruction, we evaluated the quality of reconstruction (shown in Figures (c) and (d) using the R2 metric) as we varied the percentage of compression (m/n) for various levels of sparsity (k/n) in the data. We found that a successful application of CS is bounded by the percentage of sparsity in the data - the data have to be sparse enough for compression using CS, but not so sparse that it is more cost effective to just write out the locations and values of the non-zero data points. Our experiments also indicated that scaling the data is very helpful and thresholding helps both with compression and the coherent structure analysis performed on the data.
Starting Page	479
Ending Page	479
File Size	337149
Page Count	1
File Format	PDF
ISBN	9781479984305
ISSN	10680314
DOI	10.1109/DCC.2015.94
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Data models Periodic structures Measurement Data compression Compressed sensing Sensors
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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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