Our large-scale computer systems including vector-typed and scaler-typed computational resources are available for project use in accordance with the purposes of JHPCN and HPCI. To promote research projects which realize excellent science utilizing our supercomputer systems, we call for proposals of research projects using our computational resources. Calls for the research projects, eligibility, and the procedures are described below.
Please see here about projects that have been accepted.

Accepted projects

Exploratory Research Project for Young or Women Scientists


Project representatives Project
Marcus Carl Wallden
(Graduate School of Information Science and Technology, Osaka University)
Accelerating In-Transit Co-Processing for Scientific Simulations Using Region-Based Data-Driven Adaptive Compression *
Yoshiki Ishii
(Graduate School of Engineering Science, Osaka University)
Computational Research on a Factor that Governs Light-Emission Efficiency of Fluorescent Glasses *
Masaya Imai
(Graduate School of Engineering Science, Osaka University)
Electronic state analyses of ionic liquid / electrode interfaces by ATR-FUV spectroscopy and quantum chemical calculation *
Takuya Iwashita
(Faculty of Science and Technology, Oita University)
Exploring the origin of dielectric relaxation spectrum for liquid water with molecular dynamics simulation *
Yusuke Ushijima
(Graduate School of Science, Kyoto University)
The Development of Turbulent Mixing Parameterization Scheme in the Surface Ocean under the Stratification and Earth’s Rotation *
Tatsuhiko Ohto
(Graduate School of Engineering Science, Osaka University)
First-principles molecular dynamics simulation of water interfaces using hybrid functions *
Hiromitsu Shimoyama
(School of Pharmacy, Kitasato University)
Novel Method of PPI Process by Multi-Scale MD and Rigid-Docking *
Tomonori Hayami
(Institute for Protein Research, Osaka University)
Conformational sampling of an mSin3 complex using multidimensional virtual-system coupled canonical MD *[doi/10.18910/83287]
Takuya Harada
(Data Science Laboratory, Kansai University)
Synthesizing Real-Scale Populations with Location and Income Atributes of Whole Japan using Birth Cohort *[doi/10.18910/83288]
Yohei Yamaguchi
(Graduate School of Engineering, Osaka University)
Development of energy demand models for cooperative distributed EMS *

* the project gets the acceptance of JHPCN exploratory research project

Large-Scale High-Performance Computing Projects

Project representatives Project
Etsuko Ito
(Research and Education Center for Natural Science, Keio University)
Resurgence structure of the SU(3) gauge theory
Yukihiko Okumura
(Faculty of Engineering and Design, Kagawa University)
Development of CO2-free combustor for high intensity combustion and NOx reduction with simultaneous function
Yusuke Taniguchi
(Center for Computational Sciences, University of Tsukuba)
Study of energy-momentum tensor for Nf=2+1 full QCD using gradient flow
Habara Hideaki
(Graduate School of Engineering, Osaka University)
Formation of plasma channel in a high-density plasma using 3-dimentional particle simulation with dynamic load balance technique


The reporting meeting for the research proposal-based use (FY2019)

reporting meeting
※This reporting meeting was canceled by novel coronavirus.

Call for research project additional proposals that require our supercomputer system (FY 2019)

PR poster 2019

1. Overview and Eligibility

The Cybermedia Center basically seeks for proposals from two categories: (1) Exploratory Research Project for Young scientists and Female Scientists; (2) Large-Scale High-Performance Computing Project.
Also, the category of (3) AI Research projects is specially set up in FY2019 from our Cybermedia Center's aspect of assisting and contributing AI-related research requiring supercomputing. For example, under this category, we are seeking for material scientific research using deep learning for material design, bioinformatics research using machine learning for compound search, humanities and social science research necessitating large-scale statistical processing, computer engineering utilizing computation/data-intensive data analysis methods and so forth. We are calling for research proposals using AI technologies from every field of science.
Details of eligibility are described below. Only the applicants who have applied to either JHPCN(except for a JHPCN exploratory research project) or HPCI are permitted to submit to the FY 2019 research proposal-based use, in the case that the applicants have used our HPC systems through FY2018 research proposal-based use.

(1) Exploratory Research Project for Young Scientists and Female Scientists

    • The principal investigator of the project proposals should be a researcher age 42 years old or younger as of April 2019, or a female researcher.
    • The applicant must agree to the following conditions. If an applicant's proposal for a research project meets the conditions of JHPCN and if their proposal is accepted for a JHPCN exploratory research project, the proposal may be also accepted as a JHPCN Exploratory Research Project.

(2) Large-Scale High-Performance Computing Projects

    • Proposals must include a plan for enhancing the degree of parallelism of a highly parallel execution application/simulation solved utilizing our large-scale computer systems.

(3) [special] AI Research projects

    • Proposals must include a plan for enhancing the size of research problem by executing AI-related programs on our large-scale computer systems.


2.Acceptance numbers and allocated resources

    Scheduled numbers to be adopted

    (1) Exploratory Research Project for Young Scientists and Female Scientists 3-5 projects
    (2) Large-Scale High-Performance Computing Project 1-2 projects
    (3) [special] AI Research projects 1-3 projects


    Approximate resource upper limit providing for each category

      † Not the upper limit of an application
    resource name (1) (2) (3)
    SX-ACE 1,350,000
    VCC 60,000
    OCTOPUS General purpose CPU nodes 210,000
    GPU nodes 30,000
    Xeon Phi nodes 40,000
    Large-scale shared-memory nodes 2,000
    resource name (1) (2) (3)
    storage for SX-ACE and VCC 100TB 200TB 100TB
    storage for OCTOPUS 100TB 200TB 100TB


3. Project Implementation Period

April 1, 2019 - March 31, 2020
If you require utilizing the computational resources over the period, you should apply a continuance application, then you should get an acceptance.


4. System Overview

Three types of large-scale computer systems are available.

"OCTOPUS" is the newest system in our center. OCTOPUS is a scalar computer cluster that composed four types of nodes, general purpose CPU nodes, GPU nodes, Xeon Phi nodes and large-scale shared-memory nodes.

"SX-ACE" is a vector-typed supercomputer system that has the functionality of multiple operations in 1 clock. In particular, it is a computer suited for a large-scale matrix operation or inner product operation.

"VCC (Visualization Computer Cluster)" is a scalar computer cluster that has many core Intel processors. VCC has the functionally of reconfigurable devices such as GPGPU and SSD. VCC can provide the user-requirement-suited computational resource with devices. If a user requires a cluster computer with GPGPU and SSD, VCC assigns and provides a suited computer resource. On the other hand, VCC provides a functionality of combination with a High-resolution Tiled Display System that is an interactive job. High-resolution Tiled Display systems are available at Suita Campus. Detailed information of our computer resources appears below.



5. Range of Support Services

In this application, the range of support services are described below.

    • The large-scale computer system usage fee for the proposed research project is supported by the Cybermedia Center.
    • The meeting room in the Cybermedia Center can be used for the proposed research project.
    • The travel bills for oral/poster presentation of the proposed research project is supported by our Center.
    • Tuning support is supported in response to the applicant’s needs.


6. Proposal Evaluation

The high performance computer system committee of our Center will review and evaluate the received proposals. The standards for review and evaluation are described below.
(1) Exploratory Research Project for Young Scientists and Female Scientists

    • The proposed research project utilizing our large-scale computer systems holds likely promise for the future.
    • The scale of the problem can only be solved with our large-scale computer systems.
    • The schedule for use of our large-scale computer systems is feasible.
    • The proposed research project has a continuity of supercomputer use.


(2) Large-Scale High-Performance Computing Project

    • The proposed research project through the use of our large-scale computer systems hold the promise of making an important impact on science.
    • The program used in the proposal has a high-scalability of parallelization.
    • The schedule for use of our large-scale computer systems is feasible.


(3) [special] AI Research projects

    • The proposed research project through the combinational use of AI technologies and our large-scale computers hold the promise of making an important impact on science.
    • The scale of the problem can only be solved with our large-scale computer systems.
    • The schedule for use of our large-scale computer systems is feasible.


7. Responsibilities of Selected Applicants

    • Selected applicants must present their research achievements in the reporting meeting (scheduled in March 2020).
    • Selected applicants must write a scientific article about their research work for the "HPC Journal" published in the Cybermedia Center.
    • Selected applicant must use our template format for all research reports.
    • Selected applicant must make a presentation in the JHPCN symposium if the project is accepted as a JHPCN’s Exploratory Research Project.
    • Selected applicant must apply for JHPCN or HPCI assignment for the next fiscal year. (Only for applicants accepted in (1) or (2))
    • When publishing research achievements that have been obtained as a result from our computer resources, the selected applicant must indicate that his/her research was supported. A sample acknowledgment follows:

        Sample Acknowledgement
        This work was (partly) achieved through the use of Supercomputer System SX-ACE at the Cybermedia Center, Osaka University.


8. Contract Stipulation

The usage rules of our supercomputer systems are described below.


9. Application Method and Period

Please send an e-mail with your application from to the address below. Please use the following application form.
Application Form Application Form (AI Research projects)

Address Information and Communications Technology Services Infrastructure Division, Cybermedia Center, Osaka University
E-mail system@cmc.osaka-u.ac.jp
Opening Date November 12, 2018
Closing Date December 14, 2018


10. Notification

Receipt of a notification of acceptance of the researcher's project proposal also includes an announcement of computer resource use.

Notification Date Mid February, 2019


11. Contact Information

If you have questions regarding this application, please contact us at the email or address below:

Consultation/Inquiry E-mail



    5-1, Mihogaoka, Ibaraki, Osaka, Japan 1st Floor, Main Bldg. Cybermedia Ceneter, Osaka University

Postal Code




Q.I was adopted in resrch proposal based use this year and I use it now. Can I apply resrch proposal based use of next year in a row?

A.You can apply on the condition that you have already applied to HPCI or JHPCN of next year.

Q.I'm adopted in not only resrch proposal based use, but also HPCI or JHPCN in the same fiscal year. Can I use both together?

A.Yes. However, they expect adopted users to use up allocated resources. If you are uneasy about whether or not to use up, you can decline the reserch proposal based use.

Q.Can a graduate student apply?

Yes, but a graduate student is required to enter the information of a supervisor when apply.


Projects that have been accepted

2016 2017 2017 add 2018 2018 add