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Wasuwee Sodsong
Wasuwee Sodsong
PhD Candidate, Yonsei University
Verified email at yonsei.ac.kr
Title
Cited by
Cited by
Year
Dynamic partitioning-based JPEG decompression on heterogeneous multicore architectures
W Sodsong, J Hong, S Chung, Y Lim, SD Kim, B Burgstaller
Proceedings of Programming Models and Applications on Multicores and …, 2014
152014
JParEnt: Parallel entropy decoding for JPEG decompression on heterogeneous multicore architectures
W Sodsong, M Jung, J Park, B Burgstaller
Proceedings of the 7th International Workshop on Programming Models and …, 2016
72016
Design, implementation and evaluation of a task-parallel JPEG decoder for the libjpeg-turbo library
J Hong, W Sodsong, S Chung, CG Kim, Y Lim, SD Kim, B Burgstaller
International Journal of Multimedia and Ubiquitous Engineering 7 (2), 147-152, 2012
72012
Task-parallel JPEG decoding with the Libjpeg-turbo library
J Hong, W Sodsong, S Chung, CG Kim, Y Lim, SD Kim, B Burgstaller
Proc. of the International Conference on Information Science and Technology, 2012
22012
A fast fourier transformation algorithm for single-chip cloud computers using RCCE
W Sodsong, B Burgstaller
3rd Symposium on Many-Core Applications Research Community, MARC 2011, 85-87, 2011
22011
SPARK: static program analysis reasoning and retrieving knowledge
W Sodsong, B Scholz, S Chawla
arXiv preprint arXiv:1711.01024, 2017
12017
Lazy parallel kronecker algebra-operations on heterogeneous multicores
W Sodsong, R Mittermayr, Y Park, B Burgstaller, J Blieberger
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
12017
Julia Cloud Matrix Machine: Dynamic Matrix Language Acceleration on Multicore Clusters in the Cloud
JH Lee, Y Kim, Y Ryu, W Sodsong, H Jeon, J Park, B Burgstaller, B Scholz
Proceedings of the 14th International Workshop on Programming Models and …, 2023
2023
Cloud Matrix Machine for Julia and Implicit Parallelization for Matrix Languages.
JH Lee, Y Kim, Y Ryu, W Sodsong, H Jeon, J Park, B Burgstaller, B Scholz
CoRR, 2022
2022
Parallelization Techniques for Heterogeneous Multicores with Applications
W Sodsong
2017
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