Fast ARFTIS reconstruction algorithms using CUDA

Deqi Cui; Ningfang Liao; Wenmin Wu; Boneng Tan; Yu Lin

doi:10.1007/978-3-642-11842-5_15

Fast ARFTIS reconstruction algorithms using CUDA

Deqi Cui^*, Ningfang Liao, Wenmin Wu, Boneng Tan, Yu Lin

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

In order to realize the fast reconstruction processing of all-reflective Fourier Transform Imaging Spectrometer (ARFTIS) data, the authors implement reconstruction algorithms on GPU using Compute Unified Device Architecture (CUDA). We use both CUDA 1DFFT library and customization CUDA parallel kernel to accelerate the spectrum reconstruction processing of ARFTIS. The results show that the CUDA can drive hundreds of processing elements ('manycore' processors) of GPU hardware and can enhance the efficiency of spectrum reconstruction processing significantly. Farther, computer with CUDA graphic cards will implement real-time data reconstruction of ARFTIS alone.

Original language	English
Title of host publication	High Performance Computing and Applications - Second International Conference, HPCA 2009, Revised Selected Papers
Pages	119-126
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-11842-5_15
Publication status	Published - 2010
Event	2nd International Conference on High-Performance Computing and Applications, HPCA 2009 - Shanghai, China Duration: 10 Aug 2009 → 12 Aug 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5938 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on High-Performance Computing and Applications, HPCA 2009
Country/Territory	China
City	Shanghai
Period	10/08/09 → 12/08/09

Keywords

ARFTIS
CUDA
Parallel
Reconstruction

Access to Document

10.1007/978-3-642-11842-5_15

Cite this

Cui, D., Liao, N., Wu, W., Tan, B., & Lin, Y. (2010). Fast ARFTIS reconstruction algorithms using CUDA. In High Performance Computing and Applications - Second International Conference, HPCA 2009, Revised Selected Papers (pp. 119-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5938 LNCS). https://doi.org/10.1007/978-3-642-11842-5_15

@inproceedings{4c5026ce5c844a72a056e775a78d78b6,

title = "Fast ARFTIS reconstruction algorithms using CUDA",

abstract = "In order to realize the fast reconstruction processing of all-reflective Fourier Transform Imaging Spectrometer (ARFTIS) data, the authors implement reconstruction algorithms on GPU using Compute Unified Device Architecture (CUDA). We use both CUDA 1DFFT library and customization CUDA parallel kernel to accelerate the spectrum reconstruction processing of ARFTIS. The results show that the CUDA can drive hundreds of processing elements ('manycore' processors) of GPU hardware and can enhance the efficiency of spectrum reconstruction processing significantly. Farther, computer with CUDA graphic cards will implement real-time data reconstruction of ARFTIS alone.",

keywords = "ARFTIS, CUDA, Parallel, Reconstruction",

author = "Deqi Cui and Ningfang Liao and Wenmin Wu and Boneng Tan and Yu Lin",

year = "2010",

doi = "10.1007/978-3-642-11842-5_15",

language = "English",

isbn = "3642118410",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "119--126",

booktitle = "High Performance Computing and Applications - Second International Conference, HPCA 2009, Revised Selected Papers",

note = "2nd International Conference on High-Performance Computing and Applications, HPCA 2009 ; Conference date: 10-08-2009 Through 12-08-2009",

}

Cui, D, Liao, N, Wu, W, Tan, B & Lin, Y 2010, Fast ARFTIS reconstruction algorithms using CUDA. in High Performance Computing and Applications - Second International Conference, HPCA 2009, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5938 LNCS, pp. 119-126, 2nd International Conference on High-Performance Computing and Applications, HPCA 2009, Shanghai, China, 10/08/09. https://doi.org/10.1007/978-3-642-11842-5_15

Fast ARFTIS reconstruction algorithms using CUDA. / Cui, Deqi; Liao, Ningfang; Wu, Wenmin et al.
High Performance Computing and Applications - Second International Conference, HPCA 2009, Revised Selected Papers. 2010. p. 119-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5938 LNCS).

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

TY - GEN

T1 - Fast ARFTIS reconstruction algorithms using CUDA

AU - Cui, Deqi

AU - Liao, Ningfang

AU - Wu, Wenmin

AU - Tan, Boneng

AU - Lin, Yu

PY - 2010

Y1 - 2010

N2 - In order to realize the fast reconstruction processing of all-reflective Fourier Transform Imaging Spectrometer (ARFTIS) data, the authors implement reconstruction algorithms on GPU using Compute Unified Device Architecture (CUDA). We use both CUDA 1DFFT library and customization CUDA parallel kernel to accelerate the spectrum reconstruction processing of ARFTIS. The results show that the CUDA can drive hundreds of processing elements ('manycore' processors) of GPU hardware and can enhance the efficiency of spectrum reconstruction processing significantly. Farther, computer with CUDA graphic cards will implement real-time data reconstruction of ARFTIS alone.

AB - In order to realize the fast reconstruction processing of all-reflective Fourier Transform Imaging Spectrometer (ARFTIS) data, the authors implement reconstruction algorithms on GPU using Compute Unified Device Architecture (CUDA). We use both CUDA 1DFFT library and customization CUDA parallel kernel to accelerate the spectrum reconstruction processing of ARFTIS. The results show that the CUDA can drive hundreds of processing elements ('manycore' processors) of GPU hardware and can enhance the efficiency of spectrum reconstruction processing significantly. Farther, computer with CUDA graphic cards will implement real-time data reconstruction of ARFTIS alone.

KW - ARFTIS

KW - CUDA

KW - Parallel

KW - Reconstruction

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DO - 10.1007/978-3-642-11842-5_15

M3 - Conference contribution

AN - SCOPUS:77951601916

SN - 3642118410

SN - 9783642118418

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - High Performance Computing and Applications - Second International Conference, HPCA 2009, Revised Selected Papers

T2 - 2nd International Conference on High-Performance Computing and Applications, HPCA 2009

Y2 - 10 August 2009 through 12 August 2009

ER -

Cui D, Liao N, Wu W, Tan B, Lin Y. Fast ARFTIS reconstruction algorithms using CUDA. In High Performance Computing and Applications - Second International Conference, HPCA 2009, Revised Selected Papers. 2010. p. 119-126. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-11842-5_15

Fast ARFTIS reconstruction algorithms using CUDA

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