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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-27
14:25
Okinawa
(Primary: On-site, Secondary: Online)
A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search
Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.) NC2022-2 IBISML2022-2
The goal of this study is to improve performance estimation for neural network architectures in neural architecture sear... [more] NC2022-2 IBISML2022-2
pp.6-13
MBE, NC
(Joint)
2021-10-28
15:30
Online Online A Deep Neural Network Model Compression with Spherical Clustering of Neurons
Shin Sakamoto, Masao Okita, Fumihiko Ino (Osaka Univ) NC2021-22
In this paper, we propose weight matrix compression with spherical clustering of neurons , aiming at reducing memory usa... [more] NC2021-22
pp.22-27
CPSY, DC, IPSJ-ARC [detail] 2019-07-25
13:25
Hokkaido Kitami Civic Hall Acceleration of Human Genome Phenotypic Analysis using Bit-Parallel Search and Multiprocessing
Yuichiro Miyamoto, Masao Okita, Fumihiko Ino (Osaka Univ.) CPSY2019-25 DC2019-25
In this paper, we propose a combined method of a bit-parallel search in a base sequence and multiprocessing of t-tests f... [more] CPSY2019-25 DC2019-25
pp.117-122
ICD, CPSY, CAS 2018-12-21
16:00
Okinawa   Accelerating the Held-Karp Algorithm for the symmetric traveling salesman problem
Kazuro Kimura, Shinya Higa, Masao Okita, Fumihiko Ino (Osaka Univ.) CAS2018-84 ICD2018-68 CPSY2018-50
In this paper, we propose an acceleration method for the Held-Karp algorithm that solves the symmetric traveling salesma... [more] CAS2018-84 ICD2018-68 CPSY2018-50
pp.31-36
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2018-07-31
14:30
Kumamoto Kumamoto City International Center Reduction of Indirect Addressing in Parallel-Program Generation for Improving Memory Efficiency on Vector Processor
Yujiro Ishida, Masao Okita, Kenichi Hagihara, Fumihiko Ino (Osaka Univ.) CPSY2018-20
We discuss automatic code generation of a vectorizable program from a large-scale mathematical model. Indirect addressin... [more] CPSY2018-20
pp.115-120
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2017-07-28
11:15
Akita Akita Atorion-Building (Akita) Avoiding redundant data transfer on GPU-enabled Apache Spark
Ryo Asai, Masao Okita, Kenichi Hagihara (Osaka Univ.) CPSY2017-33
Apache Spark is a fast and general engine for parallel distributed processing on PC cluster. IBMSparkGPU is a Spark plug... [more] CPSY2017-33
pp.185-190
 Results 1 - 6 of 6  /   
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