A New Model of Parallel Distributed Genetic Algorithms for Cluster Systems: Dual Individual DGAs. - Tomoyuki Hiroyasu; Mitsunori Miki; Masahiro Hamasaki; Yusuke Tanimura (ISHPC, 2000)

The System for Evolutionary Computing on the Computational Grid. - Yusuke Tanimura; Tomoyuki Hiroyasu; Mitsunori Miki; K. Aoi (IASTED PDCS, 2002)

A Dynamic Hierarchical System for Large Scale Distributed Applications. - J. Uekawa; Tomoyuki Hiroyasu; Mitsunori Miki; Yusuke Tanimura (IASTED PDCS, 2002)

Discussion on searching capability of distributed genetic algorithm on the grid. - Yusuke Tanimura; Tomoyuki Hiroyasu; Mitsunori Miki (IEEE Congress on Evolutionary Computation, 2003)

Design and Implementation of Distributed Task Sequencing on GridRPC. - Yusuke Tanimura; Hidemoto Nakada; Yoshio Tanaka; Satoshi Sekiguchi (CIT, 2006)

Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons. - David Abramson 001; Amanda Lynch; Hiroshi Takemiya; Yusuke Tanimura; Susumu Date; Haruki Nakamura; Karpjoo Jeong; Suntae Hwang; Ji Zhu; Zhonghua Lu; Céline Amoreira; Kim K. Baldridge; et al. (CCGRID, 2006)

The PRAGMA Testbed - Building a Multi-Application International Grid. - Cindy Zheng; David Abramson 001; Peter W. Arzberger; Shahaan Ayyub; Colin Enticott; Slavisa Garic; Mason J. Katz; Jae-Hyuck Kwak; Bu-Sung Lee; Philip M. Papadopoulos; Sugree Phatanapherom; Somsak Sriprayoonsakul; et al. (CCGRID, 2006)

Implementation of Fault-Tolerant GridRPC Applications. - Yusuke Tanimura; Tsutomu Ikegami; Hidemoto Nakada; Yoshio Tanaka; Satoshi Sekiguchi (J. Grid Comput., 2006)

Lessons learned through driving science applications in the PRAGMA grid. - Cindy Zheng; Mason J. Katz; Philip M. Papadopoulos; David Abramson 001; Shahaan Ayyub; Colin Enticott; Slavisa Garic; Wojtek Goscinski; Peter W. Arzberger; Bu-Sung Lee; Sugree Phatanapherom; Somsak Sriprayoonsakul; et al. (Int. J. Web Grid Serv., 2007)

A Multi-Site Virtual Cluster System for Wide Area Networks. - Takahiro Hirofuchi; Takeshi Yokoi; Tadashi Ebara; Yusuke Tanimura; Hirotaka Ogawa; Hidetomo Nakada; Yoshio Tanaka; Satoshi Sekiguchi (LASCO, 2008)

Design Principles and IT Overviews of the GEO Grid. - Satoshi Sekiguchi; Yoshio Tanaka; Isao Kojima; Naotaka Yamamoto; Shohei Yokoyama; Yusuke Tanimura; Ryosuke Nakamura; Koki Iwao; Satoshi Tsuchida (IEEE Syst. J., 2008)

Interoperation of world-wide production e-Science infrastructures. - Morris Riedel; Erwin Laure; Thomas Soddemann; Laurence Field; John-Paul Navarro; James Casey; Maarten Litmaath; Jean-Philippe Baud; Birger Koblitz; Charlie Catlett; Dane Skow; Cindy Zheng; et al. (Concurr. Comput. Pract. Exp., 2009)

ADERIS: Adaptively Integrating RDF Data from SPARQL Endpoints. - Steven J. Lynden; Isao Kojima; Akiyoshi Matono; Yusuke Tanimura (DASFAA (2), 2010)

Adaptive Integration of Distributed Semantic Web Data. - Steven J. Lynden; Isao Kojima; Akiyoshi Matono; Yusuke Tanimura (DNIS, 2010)

A distributed storage system allowing application users to reserve I/O performance in advance for achieving SLA. - Yusuke Tanimura; Hidetaka Koie; Tomohiro Kudoh; Isao Kojima; Yoshio Tanaka (GRID, 2010)

Extensions to the Pig data processing platform for scalable RDF data processing using Hadoop. - Yusuke Tanimura; Akiyoshi Matono; Steven J. Lynden; Isao Kojima (ICDE Workshops, 2010)

Dynamic Data Redistribution for MapReduce Joins. - Steven J. Lynden; Yusuke Tanimura; Isao Kojima; Akiyoshi Matono (CloudCom, 2011)

ADERIS: An Adaptive Query Processor for Joining Federated SPARQL Endpoints. - Steven J. Lynden; Isao Kojima; Akiyoshi Matono; Yusuke Tanimura (OTM Conferences (2), 2011)

Abstract: Reservation-Based I/O Performance Guarantee for MPI-IO Applications Using Shared Storage Systems. - Yusuke Tanimura; Rosa Filgueira; Isao Kojima; Malcolm P. Atkinson 001 (SC Companion, 2012)

Poster: Reservation-Based I/O Performance Guarantee for MPI-IO Applications Using Shared Storage Systems. - Yusuke Tanimura; Rosa Filgueira; Isao Kojima; Malcolm P. Atkinson 001 (SC Companion, 2012)

A knowledge-based support method for autonomous service operations after disasters. - Yusuke Tanimura; Johan Sveholm; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita (ICIS, 2013)

MPI collective I/O based on advanced reservations to obtain performance guarantees from shared storage systems. - Yusuke Tanimura; Rosa Filgueira; Isao Kojima; Malcolm P. Atkinson 001 (CLUSTER, 2013)

A knowledge-based autonomous service management system in emergency situations. - Johan Sveholm; Khamisi Kalegele; Yusuke Tanimura; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita (iCAST/UMEDIA, 2013)

A High Performance, QoS-Enabled, S3-Based Object Store. - Yusuke Tanimura; Seiya Yanagita; Takahiro Hamanishi (CCGRID, 2014)

First demonstration of ultra-low-energy hierarchical multi-granular optical path network dynamically controlled through NSI-CS for video related applications. - Junya Kurumida; Kiyo Ishii; Atsuko Takefusa; Yusuke Tanimura; Shigeyuki Yanagimachi; Hitoshi Takeshita; Akio Tajima; Kiyoshi Fukuchi; H. Honma; W. Odashima; Hiroshi Onaka; Ken Tanizawa; et al. (ECOC, 2014)

Applying Selectively Parallel I/O Compression to Parallel Storage Systems. - Rosa Filgueira; Malcolm P. Atkinson 001; Yusuke Tanimura; Isao Kojima (Euro-Par, 2014)

Virtual Cluster Deployment with Dynamically Detachable Remote Shared Storage. - Yusuke Tanimura; Takahiro Hamanishi (Euro-Par Workshops (2), 2014)

FAST: flexible automated synchronization transfer. - Rosa Filgueira; Iraklis A. Klampanos; Yusuke Tanimura; Malcolm P. Atkinson 001 (DICT@HPDC, 2014)

Operation-Level Performance Control in the Object Store for Distributed Storage Systems. - Yusuke Tanimura; Hidetaka Koie (DSDIS, 2015)

Understanding and improving disk-based intermediate data caching in Spark. - Kaihui Zhang; Yusuke Tanimura; Hidemoto Nakada; Hirotaka Ogawa (IEEE BigData, 2017)

Support mechanism for the collaboration between humans and agents in network management tasks. - Takuya Hoshino; Yusuke Tanimura; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita (GCCE, 2017)

A quantitative analysis of fault tolerance mechanisms for parallel machine learning systems with parameter servers. - Mingxi Li; Yusuke Tanimura; Hidemoto Nakada (IMCOM, 2017)

A Quantitative Analysis on Required Network Bandwidth for Large-Scale Parallel Machine Learning. - Mingxi Li; Yusuke Tanimura; Hidemoto Nakada (MOD, 2017)

Proactive Service Management in Disaster Recovery Phase with Non-Destructive Benchmarking Technique. - Yusuke Tanimura; Kazuto Sasai; Tetsuo Kinoshita (BigComp, 2019)

One-Shot Learning Using Triplet Network with kNN Classifier. - Mu Zhou; Yusuke Tanimura; Hidemoto Nakada (JSAI, 2019)

Building and Evaluation of Cloud Storage and Datasets Services on AI and HPC Converged Infrastructure. - Yusuke Tanimura; Shin'ichiro Takizawa; Hirotaka Ogawa; Takahiro Hamanishi (IEEE BigData, 2020)

Generating In-Between Images Through Learned Latent Space Representation Using Variational Autoencoders. - Paulino Cristovao; Hidemoto Nakada; Yusuke Tanimura; Hideki Asoh (IEEE Access, 2020)

The Case for Storage Optimization Decoupling in Deep Learning Frameworks. - Ricardo Macedo; Cláudia Correia; Marco Dantas; Cláudia Brito; Weijia Xu; Yusuke Tanimura; Jason Haga; João Paulo 001 (CLUSTER, 2021)

PAIO: A Software-Defined Storage Data Plane Framework. - Ricardo Macedo; Yusuke Tanimura; Jason Haga; Vijay Chidambaram; José Pereira 001; João Paulo 001 (CoRR, 2021)

Protecting Metadata Servers From Harm Through Application-level I/O Control. - Ricardo Macedo; Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; Richard Todd Evans; João Paulo 001 (CLUSTER, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Yohei Kuga; Ryo Nakamura; et al. (DASC/PiCom/CBDCom/CyberSciTech, 2022)

PAIO: General, Portable I/O Optimizations With Minor Application Modifications. - Ricardo Macedo; Yusuke Tanimura; Jason Haga; Vijay Chidambaram; José Pereira 001; João Paulo 001 (FAST, 2022)

Few Shot Model based on Weight Imprinting with Multiple Projection Head. - Paulino Cristovao; Hidemoto Nakada; Yusuke Tanimura; Hideki Asoh (IMCOM, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Shin Matsushima; Yohei Kuga; et al. (CoRR, 2022)

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. - Ricardo Macedo; Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; Richard Todd Evans; José Pereira 001; João Paulo 001 (CCGrid, 2023)

Improve symbolic music pre-training model using MusicTransformer structure. - Yingfeng Fu; Yusuke Tanimura; Hidemoto Nakada (IMCOM, 2023)

Towards Building Edge-side Common Data Processing Services on The Computing Continuum. - Yusuke Tanimura; Hidemoto Nakada; Yunzhi Dong (Middleware Demos/Posters/Doctoral Symposium, 2023)

PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. - Ricardo Macedo; Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; Richard Todd Evans; José Pereira 001; João Paulo 001 (CoRR, 2023)

Workload Analytics of LLMs Training on ABCI. - Yusuke Tanimura; Naoki Onishi; Shin'ichiro Takizawa (CLUSTER Workshops, 2024)

Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage. - Du Wu; Peng Chen 035; Yiyu Tan; Yusuke Tanimura; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment. - Van An Le; Jason Haga; Yusuke Tanimura; Truong Thao Nguyen (e-Science, 2024)

Cloud-Based Testbed for Large-Scale Data Collection System with Network-Edge. - Yungzhi Dong; Hidemoto Nakada; Yusuke Tanimura (IMCOM, 2024)

Poster: Implementing Data Reduction at the Middle Point on the Computing Continuum. - Yusuke Tanimura (SEC, 2024)

Can Current SDS Controllers Scale To Modern HPC Infrastructures? - Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; John Cazes; Ricardo Macedo; José Pereira 001; João Paulo 001 (SC Workshops, 2024)

ABCI 3.0: Evolution of the leading AI infrastructure in Japan. - Ryousei Takano; Shin'ichiro Takizawa; Yusuke Tanimura; Hidemoto Nakada; Hirotaka Ogawa (CoRR, 2024)