Parallel CYK membership test on GPUs

Kyoung Hwan Kim; Sang Min Choi; Hyein Lee; Ka Lok Man; Yo Sub Han

doi:10.1007/978-3-662-44917-2_14

Parallel CYK membership test on GPUs

Kyoung Hwan Kim, Sang Min Choi, Hyein Lee, Ka Lok Man, Yo Sub Han^*

^*Corresponding author for this work

Department of Computing

Yonsei University

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

3 Citations (Scopus)

Abstract

Nowadays general-purpose computing on graphics processing units (GPGPUs) performs computations what were formerly handled by the CPU using hundreds of cores on GPUs. It often improves the performance of sequential computation when the running program is well-structured and formulated for massive threading. The CYK algorithm is a well-known algorithm for the context-free language membership test and has been used in many applications including grammar inferences, compilers and natural language processing. We revisit the CYK algorithm and its structural properties suitable for parallelization. Based on the discovered properties, we then parallelize the algorithm using different combinations of memory types and data allocation schemes using a GPU. We evaluate the algorithm based on real-world data and herein demonstrate the performance improvement compared with CPU-based computations.

Original language	English
Title of host publication	Network and Parallel Computing - 11th IFIP WG 10.3 International Conference, NPC 2014, Proceedings
Publisher	Springer Verlag
Pages	157-168
Number of pages	12
ISBN (Print)	9783662449165
DOIs	https://doi.org/10.1007/978-3-662-44917-2_14
Publication status	Published - 2014
Event	11th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2014 - Ilan, Taiwan, Province of China Duration: 18 Sept 2014 → 20 Sept 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8707 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2014
Country/Territory	Taiwan, Province of China
City	Ilan
Period	18/09/14 → 20/09/14

Keywords

CUDA
CYK Algorithm
Context-Free Language Membership Test
GPU Programming
Parallel Computing

Access to Document

10.1007/978-3-662-44917-2_14

Cite this

Kim, K. H., Choi, S. M., Lee, H., Man, K. L., & Han, Y. S. (2014). Parallel CYK membership test on GPUs. In Network and Parallel Computing - 11th IFIP WG 10.3 International Conference, NPC 2014, Proceedings (pp. 157-168). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8707 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-662-44917-2_14

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abstract = "Nowadays general-purpose computing on graphics processing units (GPGPUs) performs computations what were formerly handled by the CPU using hundreds of cores on GPUs. It often improves the performance of sequential computation when the running program is well-structured and formulated for massive threading. The CYK algorithm is a well-known algorithm for the context-free language membership test and has been used in many applications including grammar inferences, compilers and natural language processing. We revisit the CYK algorithm and its structural properties suitable for parallelization. Based on the discovered properties, we then parallelize the algorithm using different combinations of memory types and data allocation schemes using a GPU. We evaluate the algorithm based on real-world data and herein demonstrate the performance improvement compared with CPU-based computations.",

keywords = "CUDA, CYK Algorithm, Context-Free Language Membership Test, GPU Programming, Parallel Computing",

author = "Kim, {Kyoung Hwan} and Choi, {Sang Min} and Hyein Lee and Man, {Ka Lok} and Han, {Yo Sub}",

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booktitle = "Network and Parallel Computing - 11th IFIP WG 10.3 International Conference, NPC 2014, Proceedings",

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Kim, KH, Choi, SM, Lee, H, Man, KL & Han, YS 2014, Parallel CYK membership test on GPUs. in Network and Parallel Computing - 11th IFIP WG 10.3 International Conference, NPC 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8707 LNCS, Springer Verlag, pp. 157-168, 11th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2014, Ilan, Taiwan, Province of China, 18/09/14. https://doi.org/10.1007/978-3-662-44917-2_14

Parallel CYK membership test on GPUs. / Kim, Kyoung Hwan; Choi, Sang Min; Lee, Hyein et al.
Network and Parallel Computing - 11th IFIP WG 10.3 International Conference, NPC 2014, Proceedings. Springer Verlag, 2014. p. 157-168 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8707 LNCS).

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

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AU - Man, Ka Lok

AU - Han, Yo Sub

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N2 - Nowadays general-purpose computing on graphics processing units (GPGPUs) performs computations what were formerly handled by the CPU using hundreds of cores on GPUs. It often improves the performance of sequential computation when the running program is well-structured and formulated for massive threading. The CYK algorithm is a well-known algorithm for the context-free language membership test and has been used in many applications including grammar inferences, compilers and natural language processing. We revisit the CYK algorithm and its structural properties suitable for parallelization. Based on the discovered properties, we then parallelize the algorithm using different combinations of memory types and data allocation schemes using a GPU. We evaluate the algorithm based on real-world data and herein demonstrate the performance improvement compared with CPU-based computations.

AB - Nowadays general-purpose computing on graphics processing units (GPGPUs) performs computations what were formerly handled by the CPU using hundreds of cores on GPUs. It often improves the performance of sequential computation when the running program is well-structured and formulated for massive threading. The CYK algorithm is a well-known algorithm for the context-free language membership test and has been used in many applications including grammar inferences, compilers and natural language processing. We revisit the CYK algorithm and its structural properties suitable for parallelization. Based on the discovered properties, we then parallelize the algorithm using different combinations of memory types and data allocation schemes using a GPU. We evaluate the algorithm based on real-world data and herein demonstrate the performance improvement compared with CPU-based computations.

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KW - Context-Free Language Membership Test

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Kim KH, Choi SM, Lee H, Man KL, Han YS. Parallel CYK membership test on GPUs. In Network and Parallel Computing - 11th IFIP WG 10.3 International Conference, NPC 2014, Proceedings. Springer Verlag. 2014. p. 157-168. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-662-44917-2_14

Parallel CYK membership test on GPUs

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Keywords

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