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ORCIDYuto Hayamizu
Person information
- affiliation: University of Tokyo, Japan
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2020 – today
- 2023
[j3]Pamalla Veena
, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava:
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases. Appl. Intell. 53(22): 27344-27373 (2023)- [c13]Hirotaka Yoshioka, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
pmmeter: A Microbenchmark for Understanding Synchronization Cost on Persistent Memory. BigComp 2023: 326-327 - [c12]Norifumi Nishikawa, Shinji Fujiwara, Yuto Hayamizu, Kazuo Goda:
Physical Database Design for Manufacturing Business Analytics. IEEE Big Data 2023: 1793-1802 - [c11]Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda:
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. ICDE 2023: 638-652 - [c10]Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda:
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. ICDE 2023: 3563-3577 - 2022
- [j2]Yutaro Bessho, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
Dynamic Fault Tolerance for Multi-Node Query Processing. IEICE Trans. Inf. Syst. 105-D(5): 909-919 (2022) - [c9]Kazuo Goda, Yuto Hayamizu, Norifumi Nishikawa, Shinji Fujiwara:
4mbench: Performance Benchmark of Manufacturing Business Database. TPCTC 2022: 94-109 - 2020
- [j1]Kazuo Goda, Yuto Hayamizu, Hiroyuki Yamada, Masaru Kitsuregawa:
Out-of-order Execution of Database Queries. Proc. VLDB Endow. 13(12): 3489-3501 (2020) - [c8]Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava:
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases. IEEE BigData 2020: 4700-4709 - [c7]Yutaro Bessho, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
PhoeniQ: Failure-Tolerant Query Processing in Multi-node Environments. DEXA (1) 2020: 71-85
2010 – 2019
- 2018
- [c6]Boming Luo, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
Modeling Query Energy Costs in Analytical Database Systems with Processor Speed Scaling. DEXA (2) 2018: 310-317 - [c5]Yuto Hayamizu, Ryoji Kawamichi, Kazuo Goda, Masaru Kitsuregawa:
Benchmarking and Performance Analysis of Event Sequence Queries on Relational Database. TPCTC 2018: 110-125 - 2016
- [c4]Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
Aging Locality Awareness in Cost Estimation for Database Query Optimization. DEXA (2) 2016: 389-396 - 2015
- [c3]Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa:
An Experimental Study of Aging Influence on Query Cost Estimation. IDEAS 2015: 220-221 - 2014
- [c2]Keisuke Suzuki, Yuto Hayamizu, Daisaku Yokoyama, Miyuki Nakano, Masaru Kitsuregawa:
Comprehensive Analytics of Large Data Query Processing on Relational Database with SSDs. ADC 2014: 135-146 - 2011
- [c1]Yuto Hayamizu, Kazuo Goda, Miyuki Nakano, Masaru Kitsuregawa:
Application-Aware Power Saving for Online Transaction Processing Using Dynamic Voltage and Frequency Scaling in a Multicore Environment. ARCS 2011: 50-61
Coauthor Index
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