Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures 2018 Call for Proposal of Joint Research Projects

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1 Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures 2018 Call for Proposal of Joint Research Projects The Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures (JHPCN) calls for joint research projects for fiscal year JHPCN is a "Network-Type" Joint Usage/Research Center, certified by the Minister of Education, Culture, Sports, Science and Technology, and comprises eight super-computer equipped centers affiliated with Hokkaido University, Tohoku University, The University of Tokyo, Tokyo Institute of Technology, Nagoya University, Kyoto University, Osaka University and Kyushu University, among which Information Technology Center at the University of Tokyo is functioning as the core institution of JHPCN. Each JHPCN member institution will provide its research resources for joint research projects. Researchers of an adopted joint research project can use provided research resources within granted amount with free of charge. In addition, expenses for publication or presentation of research results such as overseas travel expenses may be supported. Every eligible project should use research resources provided by JHPCN member institutions or its research team should include researchers affiliated with JHPCN member institutions. The available research resources are computers, storages, visualization systems and so on. Some of them can be connected to facilities inside and outside of JHPCN member institutions via high speed networks for the purposes of exchange, accumulation and processing of data. It is also possible to connect research resources of JHPCN member institutions with SINET5 L2VPN. Part of High Performance Computing Infrastructure (HPCI) system, referred to as the HPCI- JHPCN system, are also available for joint research projects. Applications for research projects that use the HPCI-JHPCN System are invited via the HPCI online application system and will be selected in line with our reviewing policy (see Section 6, Research Project Reviews ). The aim of JHPCN is to contribute to the advancement and permanent development of academic and research infrastructure of Japan by implementing joint research projects that require large scale information infrastructures and that address Grand Challenge-type problems, thus far considered extremely difficult to solve, in the following fields: Earth environment, energy, materials, genomic information, web data, academic information, timeseries data from the sensor networks, video data, program analysis, application of large capacity network and other fields in information technology. Since the JHPCN member institutions have enrolled leading researchers, acceleration of joint research projects is anticipated through the collaboration with these researchers. These joint research projects (for the fiscal year 2018) will be implemented from April 2018 to March

2 1. Joint Research Areas This call for joint research projects will adopt interdisciplinary research projects in the four areas: very large-scale numerical computation, very large-scale data processing, very large capacity network technology, and very large-scale information systems. Approximately 60 joint research projects will be adopted. Total number of JHPCN member institutions used for the adopted research projects. (1) Very large-scale numerical computation This includes scientific and technological simulations in scientific/engineering fields such as Earth environment, energy, and materials, as well as modeling, numerical analysis algorithms, visualization techniques, information infrastructure, etc., to support these simulations. (2) Very large-scale data processing This includes processing genomic information, web data (including from Wikipedia, as well as news sites and blogs), academic information contents, time-series data from the sensor networks, high-level multimedia information processing needed for streaming data for video footage, etc., program analysis, access and search, information extraction, statistical and semantic analysis, data-mining, machine learning, etc. (3) Very large capacity network technology This includes control and assurance of network quality for very large-scale data sharing, monitoring and management required for construction and operation of very large capacity networks, assessment and maintenance of the safety of such networks, a large-scale stream processing framework taking advantage of very large capacity networks as well as the development of various technologies for the support of research. Research dealing with largescale data processing using the large capacity network is classified in this area. (4) Very large-scale information systems This combines each of the above-mentioned areas, entailing exascale computer architectures, software for high-performance computing infrastructures, grids computing, virtualization technology, cloud computing, etc. Please pay special attention to the following points when applying. 1 We will only be accepting interdisciplinary joint research proposals that will involve cooperation among researchers from a wide range of disciplines. For example, we presume that a research team in the very large-scale numerical computation area will 2

3 consist of researchers from computer and computational sciences who work together in a cooperative and complimentary manner. In this area, therefore, we invite joint research projects with researchers who will be solving problems in application fields using computers and those who will be conducting research in computer science, such as on algorithms, modeling, and parallel processing. It is not mandatory to use the HPCI-JHPCN system or other research resources provided by JHPCN member institutions. In other words, a joint research project with no use of provided research resources can be acceptable. 2 We particularly appreciate the following categories of joint research projects. Research projects in close cooperation with multiple JHPCN member institutions Taking advantage of the network of JHPCN, a project in this category should use research resources and/or involve researchers of multiple JHPCN member institutions. For example, relevant research topics may include but not limited to large-scale and geographically distributed information systems and multi-platform implementations of applications using research resources provided by multiple JHPCN member institutions. Research projects using both large-scale data and large capacity networks The available research resources include those that can be directly connected to a very wide bandwidth network provided by SINET5, including L2VPN, in cooperation with the National Institute of Informatics. Therefore, research can be conducted that depends upon a very wide bandwidth network. A project in this category should require massive data transfer, using the very wide bandwidth network, between research facilities located at involved researchers working places and at JHPCN member institutions or between those at JHPCN member institutions. Please refer to Attachment 2 for possible examples of research topics in this category. 2. Types of Joint Research Projects Under the premise of the interdisciplinary joint research project structure mentioned above, joint research projects to be invited are as follows. (1) General Joint Research Projects (approximately 80% of the total number of accepted projects will be in this type) (2) International Joint Research Projects (approximately 10% of the total number of accepted projects will be in this type) International joint research projects are conducted in conjunction with foreign researchers to address challenging problems that may not be resolved or clarified with only the help of researchers within Japan. For such research projects, there will be a certain amount of 3

4 subsidies paid to cover travel expenses incurred for holding meetings with foreign joint researchers during the fiscal year of commencement. For details, please contact our office once your research project has been accepted. (3) Industrial Joint Research Project (approximately 10% of the total number of accepted projects will be in this category) Industrial joint research projects are interdisciplinary projects focused on industrial applications. A research proposal submitted to (2) International Joint Research Project or (3) Industrial Joint Research Project might be adopted as a (1) General Joint Research Project. Further, we invite applications in each of these three types for research projects that use the HPCI-JHPCN System and research projects that do not use the HPCI-JHPCN System. If you require the assistance and cooperation of researchers and research groups that are affiliated with JHPCN member institutions in the computer science field, please complete Section 7 of the application form describing the specific requirements in detail. We will arrange for as much assistance and cooperation as possible. During the application, please designate the university (JHPCN member institution) with which you seek collaboration. You may also name several institutions. If this is difficult for you to designate, it is possible for us to decide corresponding research center(s) on your behalf after considering the research proposal. Please be sure to discuss this with our contact person (listed on Section 10) in advance. 3. Application Requirements Applications must be made by a Project Representative. Furthermore, the Project Representative and the Deputy Representative(s), as well as any other joint researchers of a project, must fulfill the following conditions. 1 The Project Representative must be affiliated with an institution in Japan (University, National Laboratory, Private Enterprise, etc), and must be in a position to be able to obtain the approval of his/her institution (or representative head). 2 At least one Deputy Representative must be a researcher in a different academic field from that of the Project Representative. There may be two or more Deputy Representatives, and one of them can be in charge of HPCI face-to-face identity vetting. 3 A graduate student can participate in the project as a joint researcher, but an undergraduate cannot. A Graduate student cannot become the Representative or the Deputy Representative of the project. If a non-resident member, defined by the Foreign 4

5 Exchange and Foreign Trade Act, is going to use computers, a researcher affiliated with the JHPCN member institutions equipped with them must participate as a joint researcher. International joint research projects must, in addition to the above-mentioned 1 3, fulfill the following conditions (4 and 5). 4 At least one researcher affiliated with a research institution outside Japan must be named as a Deputy Representative. Furthermore, an application must be made using the English Application Form. 5 A researcher affiliated with the JHPCN member institutions that you designate Desired University for Joint Research must participate as a joint researcher. Industry joint research projects must, in addition to the above-mentioned 1 3, fulfill the following conditions (6 and 7). 6 The Project Representative must be affiliated with a private company, excluding universities and national laboratories. 7 At least one researcher affiliated with the JHPCN member institutions that you designate Desired University for Joint Research must be named as a Deputy Project Representative. 4. Joint Research Period April 1, 2018 to March 31, Depending on conditions for preparing computer accounts, the commencement of computer use may be delayed. 5. Facility Use Fees The research resources listed in Attachment 1 can be used within granted amount with free of charge. 6. Research Project Reviews Reviews will be conducted by the Joint Research Project Screening Committee, which comprises faculty members affiliated with JHPCN member institutions as well as external members, and the HPCI Project Screening Committee, which comprises industry, academic, and government experts. Research project proposals will be reviewed in both a general and technical sense for their scientific and technological validity, their facility/equipment requirements and the validity of these requirements, and their potential for development. The feasibility of resource requirements at and cooperation/collaboration with the JHPCN member institutions that you designate Desired University for Joint Research will also be subject to 5

6 review. In addition, how relevant a proposal is to its type of joint research project will be considered. Furthermore, for projects continuing from the previous fiscal year and projects determined to have substantial continuity, an assessment of the previous year s interim report and previous usage of computer resources may be considered during the screening process. 7. Notification of Adoption We expect to notify the review results by mid-march Application Process 1. Please note that the following application procedures differ for Research projects that use the HPCI-JHPCN System and Research projects that do not use the HPCI-JHPCN System (The HPCI-JHPCN system is described in Attachment 1 (1)). 2. In particular, for Research projects that use the HPCI-JHPCN System, the Project Representative (and the Deputy Representative who will submit the proposal or who will be in charge of HPCI face-to-face identity vetting on behalf of the Project Representative) and all joint researchers that will use the HPCI-JHPCN system must have obtained their HPCI-ID prior to the application. 3. For international joint research projects, an English application form must be completed. (1) Application Procedure After completing the Research Project Proposal Application Form obtained from the JHPCN website ( and completing the online submission of the electronic application, please print and press seals onto the application form and mail it to the Information Technology Center, The University of Tokyo (address provided on Section 10). For details on the application process, please consult the JHPCN website and the HPCI Quick Start Guide. The summary of the application process is shown below. I: For Research Projects that use the HPCI-JHPCN System 1 Download the Research Project Proposal Application Form (MS Word format) from the JHPCN website and complete it. In parallel, the Project Representative (and the Deputy Representative who will submit the proposal or who will be in charge of HPCI face-to-face identity vetting on behalf of the Project Representative) and all joint researchers who will use the HPCI-JHPCN System must obtain their HPCI-IDs 6

7 unless already have them. For online entries to be made as per the requirements of step 2, it is necessary to register the HPCI-IDs of the Project Representative, the Deputy Representative acting on behalf of Project Representative, and all joint researchers who will use the HPCI-JHPCN System. Joint researchers who are not registered at this stage will not be issued with computer user accounts (HPCI account, local account) and thus, will not be able to use the HPCI-JHPCN system. 2 Access the Research Projects that use the HPCI-JHPCN System on the Project Application page of the above-mentioned JHPCN website. You will be transferred to the HPCI Application Assistance System where after filling out the necessary items, you should upload a PDF file of the Research Project Proposal Application Form (without seal) created in 1. For Research Projects that use the HPCI-JHPCN System the project application system on the JHPCN website will not be used. 3 Print and press seals onto the Research Project Proposal Application Form created in 1, and mail it to the address provided on Section 10. Contact Information If your project is adopted, please follow the Procedures after the awarding of the proposal stipulated by the HPCI ( In particular, face-to-face identity vetting must be provided responsibly by the Project Representative or a Deputy Representative, who may have to bring copies of photographic identification of all joint researchers who will use the HPCI-JHPCN system. (Note that the contact persons such as secretaries are ineligible for a face-to-face identity vetting). II: For Research Projects that do not use the HPCI-JHPCN System 1 Download the Research Project Proposal Application Form (MS Word format) from the JHPCN website and complete it. 2 Access the Research Projects that do not use the HPCI-JHPCN System on the project application page of the above-mentioned JHPCN website. After filling out the necessary items, you should upload a PDF file of the Research Project Proposal Application Form (without seal) created in 1. An Notification of Receipt will be sent to the address that you registered on the Research Project Application page. Applications for Research Projects that do not use the HPCI-JHPCN System do not require the HPCI Application Assistance System. Therefore, it is not necessary to obtain HPCI-IDs. 7

8 3 Print and press seals onto the Research Project Proposal Application Form created in 1, and mail it to the address provided on Section 10. Contact Information. (2) Application Deadline Online Registration (submission of PDF application form): January 9, 2018 (Tue.) 17:00 [Mandatory] Submission of printed application form: January 15, 2018(Mon.) 17:00 [Mandatory] The above deadlines must be followed for submission of the Research Project Proposal Application Forms. However, if submission of printed documents created in (1)Ⅰ3 and (1)Ⅱ 3 above is delayed, please contact the JHPCN office (details on Section 10) in advance. (3) Points to remember when creating the Research Project Proposal Application Form 1 Applicants must comply with rules and regulations of the JHPCN member institutions whose computer resources will be used in the joint research project. 2 Research resources must be only used for the purpose of the adopted research project. 3 The proposal must be for a project with peaceful purposes. 4 The proposal should consider human rights and profit protection. 5 The proposal must comply with the Ministry of Education, Culture, Sports, Science and Technology s Approach to Bioethics and Safety. 6 The proposal must comply with the Ministry of Health, Labour and Welfare s Guidelines on Medical and Health research. 7 The proposal must comply with the Ministry of Economy, Trade and Industry s Concerning Security Trade Management. 8 Applicants must complete a course in Responsible Conduct of Research (RCR). Programs on RCR, including lectures, e-learning, and training workshops, are conducted at each of the affiliated organizations (including CITI Japan e-learning). If your affiliated organization does not provide any RCR programs, please contact our office. Researchers who are eligible to apply for the Japanese Grant-in-Aid for Scientific Research awarded by the Ministry of Education, Culture, Sports, Science and Technology and the Japan Society for the Promotion of Science will be considered as eligible if they note their Kakenhi Researcher Code in the application form. In addition, researchers who were recently awarded research grants that required RCR training will be also considered as eligible if they present evidence. 9 After being accepted, applicants must comply with the deadlines for submitting a research introduction poster and various reports. 8

9 9. Other Important Notices (1) Submission of a written oath Research groups whose research projects have been adopted will be expected to submit a written oath pledging adherence to the contents of the above-mentioned (3) Points to remember when creating the Research Project Proposal Application Form of 8. Application Process. The specific process of submission will be provided post-adoption, but a sample of it is provided on the website for those applicants who wish to familiarize themselves with the requirements of the oath. (2) Regulations for use of facilities While using the facilities, you are expected to follow the regulations for use pertaining to research resources as stipulated by the JHPCN member institutions with which you will work. (3) Types of reports The submission of research introduction posters, interim reports, and final reports are expected. Each report must be submitted by the designated deadline. Research introduction posters as well as the final reports, in particular, will be expected to be suitable for disclosure (see the JHPCN website for details). For International Joint Research Projects, these reports should be submitted in English in principle. Furthermore, you will be asked to introduce the research through poster presentation at the JHPCN symposium (where the results of research projects from the previous year will be presented orally) that is expected to be held during the summer. (4) Disclaimer Each JHPCN member institution assumes no responsibility at all for any inconveniences that affect applicants as a consequence of joint research projects. (5) Handling of intellectual property rights In principle, any intellectual property that arises as a result of a research project will belong to each of the research groups involved. However, it is presumed that any recognition of inventors will be in accordance with each institution s policy concerning intellectual property rights. Please contact each JHPCN member institution for details and handling of other exceptional matters. (6) RCR training If a participant in an accepted project (excluding students) cannot be confirmed to have completed a program pertaining to RCR or equivalent (for example, eligibility for the Japanese Grant-in-Aid for Scientific Research that is awarded by the Ministry of Education, Culture, Sports, Science and Technology, or the Japan Society for the Promotion of 9

10 Science), this individual s use of computers may be suspended until the completion of such a program can be confirmed. (7) Acknowledgement Upon publication of the results of an accepted project, the author(s) should indicate in Acknowledgements that the project was supported by JHPCN (see the JHPCN website for an example sentence).. (8) Other Personal information provided by this proposal shall only be used for screening research projects and providing system access. After the adoption of a research project, however, the project name and the name/affiliation of the Project Representative will be disclosed After the adoption of the research project, changes cannot be made to the JHPCN member institutions to work with or the computers to be used. If you wish to discuss your application, please contact us on the address listed on Section 10 (please note in advance that we are not able to respond to telephone-based inquiries). 10. Contact information (for inquiries about application, etc.) For inquiries about application Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures Office address: jhpcn.adm@gs.mail.u-tokyo.ac.jp For available resources, how to use resources, details of eligibility, faculty members who can participate in joint research projects, and the handling of intellectual property of each institution, please feel free to directly contact the following. JHPCN member institutions Information Initiative Center, Hokkaido University Cyberscience Center, Tohoku University Information Technology Center, The University of Tokyo Global Scientific Information and Computing Center, Tokyo Institute of Technology Information Technology Center, Nagoya University Academic Center for Computing and Media Studies, Kyoto University address kyodo@oicte.hokudai.ac.jp joint_research@cc.tohoku.ac.jp jhpcn.adm@gs.mail.u-tokyo.ac.jp jhpcn-kyoten@gsic.titech.ac.jp kyodo@itc.nagoya-u.ac.jp kyoten-8gm@media.kyoto-u.ac.jp 10

11 Cybermedia Center, Osaka University Research Institute for Information Technology, Kyushu University Mailing address for the Research Project Proposal Application Form Yayoi, Bunkyo-ku, Tokyo Information Technology Center, The University of Tokyo Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures Office (You may use the abbreviations, Information Technology Center Office, or the JHPCN Office ) 11

12 Attachment 1 List of research resources available at the JHPCN member institutions for the Joint Research Projects The research resources that can be directly connected via SINET5 L2VPN provided by National Institute of Informatics is annotated as L2VPN ready. (1)List of the HPCI-JHPCN system resources available for Joint Research Projects JHPCN Institution Information Initiative Center, Hokkaido University Computational Resources, Type of Use 1 Supercomputer HITACHI SR16000/M1 (Max. 4 node four months per 1 project) (due to system renewal) 168 nodes,5,376 physical cores,total main memory capacity 21TB, TFLOPS (Shared with general user, MPI parallel processing of up to a maximum of 128node per 1 job is possible) 1) Calculation time: 27,000,000 seconds: file 2.5 TB 2) Calculation time: 2,700,000 seconds: file 0.5 TB (Assumed amount of resources:166,666,667s and 48 TB when combining 1) and 2)) Software resources Compilers Optimized FORTRAN90 (Hitachi), XL Fortran (IBM),XL C/C++ (IBM) Libraries MPI-2 (without dynamic process creation function), MATRIX/MPP,MATRIX/MPP/SSS,MSL2,NAG SMP Library, ESSL,Parallel ESSL, BLAS,LAPACK,ScaLAPACK,ARPACK, FFTW2.1.5/3.2.2 Application software Gaussian 2 Cloud-System Blade Symphony BS / /10 (due to system renewal) Virtual server( S / M / L server) 2 nodes,80 cores Equal to 8 units of L server (May also use S server and M server) (Max. 4 units seven months per 1 project) Physical server( XL server) 1 unit (40 cores,memory 128GB,DISK 2TB) Usage L2VPN Ready: Only for XL server. (VPN service is available for S / M / L servers by Cloud Stack ) 3 Data Science Cloud System HITACHI HA8000 1) Physical server 2 units (20 cores, Memory 80GB, Hard-Disk 2TB) Estimated number of Projects adopted 1+2:10 3 Max.2 4+5:8 6:4 12

13 Cyberscience Center, Tohoku University Usage L2VPN Ready 4 New Supercomputer A 2019/ /03 (due to system renewal) (Max. 32 node years per 1 project) About 900 nodes,36,000 physical cores,total main memory capacity 337TB,2.5PFLOPS (Shared with general user, MPI parallel processing of up to a maximum of 128node per 1 job is possible) 1) Calculation time: 15,000,000 seconds: file 3TB (Assumed amount of resources: 3,000,000,000 s and 600TB for multiple sets of 1)) Software resources Compilers Fortran, C/C++ Libraries MPI, Numerical libraries 5 New Supercomputer B 2019/ /03 (due to system renewal) (Max. 16 node years per 1 project) About 400 nodes,24,000 physical cores,total main memory capacity 43TB,1.2PFLOPS (Shared with general user, MPI parallel processing of up to a maximum of 64node per 1 job is possible) 1) Calculation time: 15,000,000 seconds: file 3TB (Assumed amount of resources: 1,500,000,000 s and 600TB for multiple sets of 1)) Software resources Compilers Fortran, C/C++ Libraries MPI, Numerical libraries 6 New Cloud System 2018/ /3 (due to system renewal) 1) Physical server 5 nodes (40+ cores, Memory 256+ GB, DISK 2+ TB) 2) Intercloud package 1 sets (Physical servers each of which is installed at Hokkaido university, University of Tokyo, Osaka university, and Kyushu university, connected via SINET VPN) 3) Virtual server (L server) 8 nodes (10core Memory 60+ GB, DISK 500+GB) Usage L2VPN Ready 1 Supercomputer SX-ACE(2,560nodes) 48 node years / project About 707TFLOPS,Main memory 160TB,Maximum number of nodes 1,024, Shared use Software resources Compilers FORTRAN90/SX, C++/SX, NEC Fortran2003 Libraries MPI/SX, ASL, ASLSTAT, MathKeisan 13 10

14 Information Technology Center, the University of Tokyo 2 Supercomputer LX406Re-2(68nodes) 12 node years / project About 31.3TFLOPS,Main memory 8.5TB,Maximum number of nodes 24,Shared use Software resources Compilers Intel Compiler(Fortran, C/C++) Libraries MPI, IPP, TBB, MKL, NumericFactory Application software Gaussian16 3 Storage 4PB 20TB / project(possible to add) 1 Reedbush-U (Intel Broadwell-EP cluster, High-speed file cache system (DDN IME)) Maximum tokens for each project: 16 node-year, Storage 16TB (138,240 node-hour) Options: node occupied service, customized login nodes, L2VPN Ready (negotiable) Software resources Compilers Intel Fortran, C, C++ Libraries MPI, BLAS, LAPACK/ScaLAPACK, FFTW, PETSc, METIS/ParMETIS, SuperLU/SuperLU_DIST Application software OpenFOAM, ABINIT-MP, PHASE, FrontFlow/Blue, FrontFlow/Red, REVOCAP, ppopen-hpc, BioPerl, BioRuby, BWA, GATK, SAMtools, K MapReduce, Spark 2 Reedbush-H (Intel Broadwell-EP+NVIDIA P100 (Pascal) cluster (2 GPU per node), High-speed file cache system (DDN IME)) Maximum tokens for each project: 8 node-year, Storage 32TB (69,120 node-hour) Software resources Compilers Intel Fortran, C, C++, PGI Fortran, C, C++ (with Accelerator support), CUDA Fortran, CUDA C Libraries GPUDirect for RDMA: Open MPI, MVAPICH2-GDR, cublas, cusparse, cufft, MAGMA, OpenCV, ITK, Theano, Anaconda, ROOT, TensorFlow Application software Torch, Caffe, Chainer, GEANT4 3 Reedbush-L (Intel Broadwell-EP+NVIDIA P100 (Pascal) cluster (4 GPU per node), High-speed file cache system (DDN IME)) Maximum tokens for each project: 4 node-year, Storage 16TB (34,560 node-hour) Options: node occupied service, customized login nodes, L2VPN Ready (negotiable) Software resources Same as Reedbush-H 4 Oakforest-PACS (Intel Xeon Phi 7250 (Knights Landing)) 14 10

15 Global Scientific Information and Computing Center, Tokyo Institute of Technology Information Technology Center, Nagoya University Maximum tokens for each project: 64 node-year, Storage 16TB (552,960 node-hour) Software resources Compilers Intel Fortran, C, C++ Libraries MPI, BLAS, LAPACK/ScaLAPACK, FFTW, PETSc, METIS/ParMETIS,, SuperLU/SuperLU_DIST Application software (planned) OpenFOAM, ABINIT-MP, PHASE, FrontFlow/Blue, FrontFlow/Red, REVOCAP, ppopen-hpc 1 Cloudy, Big-Data and Green Super Computer TSUBABE3.0 TSUBAME3.0 system includes 540 compute nodes, which provides 12.15PF performance (CPU 15,120 cores, 0.70PF + GPU 2,160 slots, 11.45PF) in total. Maximum system available at a time is 50% of fullsystem. (Shared use) Total provided resource is 230 units (= 230,000 node-hour, 1 unit = 1,000 node-hour). 27 units (= node-year) are maximum resources for each project. Please specify not only total amount of resources but also quarterly amounts of resources. Maximum storage is 300TB for each project. Ensuring 1TB of storage for one year requires 120 node-hour of resource. Resources should be requested accordingly. Software resources OS SUSE Linux Enterprise Server 12 SP2 Language Compiler: Intel Compiler (C/C++/Fortran), PGI Compiler (C/C++/Fortran, OpenACC, CUDA Fortran), Allinea FORGE, GNU C, GNU Fortran, CUDA, Python, Java SDK, R Libraries OpenMP, MPI (Intel MPI, OpenMPI, SGI MPT),BLAS, LAPACK,CuDNN, NCCL, PETSc, fftw, PAPI Application software Gaussian, Gauss View, AMBER (only for academic users), CST MW-STUDIO (only for Industrial Joint Research Projects), Caffe, Chainer, TensorFlow, Apache Hadoop, ParaView, POV-Ray, VisIt, GAMESS, CP2K, GROMACS, LAMMPS, NAMD, Tinker, OpenFOAM, ABINIT-MP (1) Fujitsu PRIMEHPC FX PF (2,880 nodes, 92,160 cores, 92TiB memory) Software resources OS FX100 dedicates OS (Red Hat Enterprise Linux for login node) Compilers Fortran,C,C++,XPFortran Libraries MPI, BLAS, LAPACK, ScaLAPACK, SSLII, C-SSL II, SSL,II/MPI, NUMPAC, FFTW, HDF5 Application software Gaussian, LS-DYNA, AVS/Express, AVS/Express PCE(parallel version ), EnSight Gold, IDL, ENVI, ParaView, Fujitsu Technical Computing Suite (HPC Portal) (2) Fujitsu PRIMERGY CX400/ TF (384 nodes, 10,752 cores, 48TiB memory) Software resources OS Red Hat Enterprise Linux Programming languages Fujitsu Fortran/C/C++/ XPFortran,Intel Fortran /C/C++, Python (2.7, 3.3) Application software MPI(Fujitsu, Intel), BLAS, LAPACK, (1) +(2)+ (3)+(4):10

16 Academic Center for Computing and Media Studies, Kyoto University Cybermedia Center, ScaLAPACK,SSLII(Fujitsu), C-SSL II, SSL II/MPI, MKL(Intel), NUMPAC, FFTW, HDF5, IPP(Intel) Application software LS-DYNA, ABAQUS, ADF, AMBER,GAMESS, Gaussian, Gromacs, LAMMPS, NAMD, HyperWorks,OpenFOAM, STAR- CCM+, Poynting, AVS/Express Dev/PCE,EnSightGold, IDL, ENVI, ParaView, Fujitsu Technical Computing Suite (HPC Portal) (3) Fujitsu PRIMERGY CX400/ TF (184 nodes Xeon Phi, 4, ,488 cores, 23TiB memory) Software resources Same to software resources of (2) Fujitsu PRIMERGY CX400/2550 (4) SGI UV TF (1,280 cores, 20TiB shared memory, 10TB memory base file system) 3D visualization system: High resolution 8K display system (185in size by 16 panel tile display), Full HD circularly polarized light binocular vision system (150in screen, projector, circularly polarized light eyeglasses, etc.), head mount display system (MixedReality, VICON, etc.), dome type display system Software resources OS SuSE Linux Enterprise Server Programming languages Intel Fortran C C++, Python (2.6, 3.5) Libraries MPT(SGI),MKL(Intel), PBS Professional, FFTW, HDF5,NetCDF, scikit-learn, TensorFlow Application software AVS/Express Dev/PCE, EnSightDR, IDL,ENVI(SARscape), ParaView, POV-Ray, NICE DCV(SGI), ffmpeg, ffplay, osgviewer, vmd(visual Molecular Dynamics) Maximum resource allocation to one project: 15 unit or 86 node year 1 unit becomes 50 thousand node hour (equivalent to 180 thousand yen charge) You can use large scale storage by converting 5000 node hour to 10TB. All resources are shared with general users. When using 3D visualization system, it is 100 thousand yen per research projects.(equivalent to additional contribution) Cray XC40(Camphor 2:Xeon Phi KNL/node) nodes, 8,704 cores, 390.4TFLOPS throughout the year (Each project is assigned up to 48 nodes throughout the year) nodes, 8,704 cores, 390.4TFLOPS 20 weeks (Each project is assigned up to 128 nodes 4 weeks. ) Available amount of computing resources are adjusted by the projects.) Software resources Compilers Fortran2003/C99/C++03(Cray, Intel) Libraries MPI, BLAS, LAPACK, ScaLAPACK Application Software Gaussian09 Usage L2VPN ready (negotiable). (i) Super Computer SX-ACE 1 2:5 (i)(ii)(iii): 10 16

17 Osaka University - Resource per project: up to 22 node years - Computational node: 512 nodes (141 TFlops) will be provided up to 280,000 node hours in shared use. - Storages per project: 20 TByte Software resources - Compilers C++/SX, FORTRAN90/SX, NEC Fortran 2003 compiler - Libraries ASL, ASLQUAD, ASLSTAT, MathKeisan(including BLAS, BLACS, LAPACK, ScaLAPACK), NetCDF (ii) PC Cluster for large scale visualization (possible to link with the largescale visualization system) - Resource per project: up to 6 node years - Computational node: 69 nodes (CPU: up to 31.1 TFlops, GPU: up to TFlops) will be provided up to 53,000 node hours in shared use. Arbitrary number of GPU resources can be attached to each node based on user requirement. Simultaneous use of this system and the largescale visualization system is possible based on user requirement. - Storages per project: 20 TByte Software resources - Compilers Intel Compiler (C/C++, Fortran) - Libraries Intel MKL, Intel MPI(Ver.4.1) - Application software OpenFOAM, GROMACS (for CPU/for GPU),LAMMPS (for CPU/for GPU), Gaussian09, AVS/Express PCE,AVS/Express MPE (Ver.8.2) (iii) OCTOPUS - Resource per project: General purpose CPU nodes: up to 35 node years GPU nodes: up to 5 node years Xeon Phi nodes: up to 6 node years Large-scale shared-memory nodes: up to 0.3 node years - Computational node: General purpose CPU nodes: 236 nodes (CPU: TFLOPS) will be provided up to 310,000 node hours in shared use. Because processors on these nodes are the same as that of GPU nodes, users can use 273 nodes for a job. GPU nodes: 37 nodes (CPU: 73.9 TFLOPS, GPU: TFLOPS) will be provided up to 49,000 node hours in shared use. Xeon Phi nodes: 44 nodes (CPU: TFLOPS) will be provided up to 58,000 node hours in shared use. Large-scale shared-memory nodes: 2 nodes (CPU: 16.4 TFLOPS, memory: 12TB) will be provided up to 2,600 node hours in shared use. Storages per project: 20 TByte Software resources [Compilers] Intel Compiler (FORTRAN, C, C++), GNU Compiler (FORTRAN, C, C++), PGI Compiler (FORTRAN, C, C++), Python 2.7/3.5, R 3.3, Julia, Octave, CUDA, XcalableMP, Gnuplot [Library] IntelMPI, OpenMPI, MVAPICH2, BLAS, LAPACK, FFTW, GNU Scientific Library, NetCDF 4.4.1, Parallel netcdf 1.8.1, HDF [Application software] 17

18 Research Institute for Information Technology, Kyushu University NICE Desktop Cloud Visualization, Gaussian16, GROMACS, OpenFOAM, LAMMPS, Caffe, Theano, Chainer, TensorFlow, Torch, GAMESS, ABINIT-MP, Relion 1 ITO Subsystem A (Fujitsu PRIMERGY) Hardware Resources 1) (Nearly dedicated-use) The Maximum resources allocated for 1 project is 32 nodes for a year. Most of resources are dedicated to the project. 32 nodes(1,152 cores), TFLOPS 2) (Shared-use) Up to 64 nodes can be used at the same time per project. It is shared with general users. 64 nodes(2,304 cores), TFLOPS Software Resources Compilers Intel Cluster Studio XE(Fortran, C, C++), Fujitsu Compiler 2 ITO Subsystem B (Fujitsu PRIMERGY) Hardware Resources (Nearly dedicated-use) The maximum resource allocation per task is 16 nodes for a year. Most of resources are dedicated to the project. 16 nodes(576 cores), CPU 42.39TFLOPS + GPU 339.2TFLOPS, including SSD Software Resources Compilers Intel Cluster Studio XE(Fortran, C, C++), Fujitsu Compiler, CUDA 3 ITO Frontend (Virtual server / Physical server) Hardware Resources Standard Frontend: 1 nodes(36 cores), CPU 2.64TFLOPS, Memory 384GiB, GPU (NVIDIA Quadro P4000) Large Frontend: 1 nodes(352 cores), CPU 12.39TFLOPS,Shared memory 12GiB, GPU(NVIDIA Quadro M4000) Software Resources Compilers Intel Cluster Studio XE(Fortran, C, C++), CUDA Storages per project: 10 TByte, (possible to add) Regarding 1/2, a server for pre/post-processing or visualization is available (Standard Frontend) 11):2 2):8 2:3 3:5 18

19 (2)Other facilities/resources available for Joint Research Projects The following facilities/resources, despite not being part of the HPCI-JHPCN system, are available for Joint Research Projects. JHPCN Institution Information Initiative Center, Hokkaido University Cyberscience Center, Tohoku University Information Technology Center, the University of Tokyo (1) Large-format printer Computational Resources, Type of Use Software resources Usage (1) Large-format printer (2) 3D visualization system(12 screens large stereoscopic display system( (FULL HD) 50 inch projection module 12 screens), visualization server 4, 3D visualization glasses) Software resources AVS/Express MPE(3D visualization software) Usage L2VPN Ready On-demand L2VPN (1) FENNEL (Real-time Data Analysis Nodes) x 4 At maximum four VMs or one bare metal server are provided to each group. The provided VMs or a bare metal server are dedicated to the group. (2) GPGPU (Nvidia Tesla M60) is available on request. 10Gbps Network Access (3) etwork Attached Storage (NAS) 150 TB 10Gbps Network Access Software resources Analysis nodes OS Ubuntu 16.04, Ubuntu 17.04, CentOS 7.4 Programming Language Python, Java, R Application Software Apache Hadoop, Apache Spark, Apache Hive, Facebook Presto, Elastic Search, Chainer, Tensor Flow Usage L2VPN ready (1) Analysis nodes You can directly login to the nodes via remote network with SSH. You can also mount NAS as native file system. (2) NAS You can mount with iscsi, NFS and/or CIFS protocol via SINET L2VPN. Y Other Options Housing services 20U Rack-Space (Arm-Type Racking) Estimated number of Projects adopted or 4 19

20 Global Scientific Information and Computing Center, Tokyo Institute of Technology Information Technology Center, Nagoya University Academic Center for Computing and Media Studies, Kyoto University Cybermedia Center, Osaka University Network Connectivity (Network Bandwidth: 10Gbps, (consultation is necessary), Power: AC100V/15A) (1) Remote GUI environment: the VDI (Virtual Desktop Infrastructure) system If you are planning to use the VDI system, please contact us in advance. Software resources Usage Hardware Resources (1) Visualization system Remote visualization system, on-site use(for data translation) (2) Network connection up to 40GBASE Note: Nagoya University only provides SFP+/QSFP port so that you have to prepare optical modules including the module for network switch of Nagoya University. Software Resources (1) Fujitsu PRIMERGY CX400/2550 Python + scikit-learn + TensorFlow Other software which is executable on Linux (2) Visualization system AVS/Express Dev/PCE, EnsightHPC, 3DAVSPlayer, IDL, ENVI (SARscape),ParaView, osgviewer, EasyVR, POV-Ray, 3dsMAX, 3- matic,vmd, LS-prepost Usage L2VPN Ready You can use L2VPN network connection when you connect own system to the network via hardware resource (2). We configure SINET L2VPN connection to outer university and internal university VLAN (with connection between them) (1) Virtual Server Hosting Standard Spec: CPU 2 Cores, Memory 8GB, Disk capacity 1TB Software resources (1) Hypervisor VMware OS CentOS7 Application Basic software prepared at the center and support for introducing various open source software. Usage L2VPN Ready Dedicated VLAN (on-campus) or SINET L2VPN(off-campus) Connection screen Flat Stereo Visualization System Install location: Umekita Office of the Cybermedia Center, Osaka University 50-inch FHD (1920 x 1080) stereo projection module: 24 displays Image Processing PC Cluster: 7 computing nodes * Prioritize the visualization by users of PC cluster for the largescale visualization screen Cylindrical Stereo Visualization System Install location: the main building of the Cybermedia Center, Suita Campus, Osaka University 46-inch WXGA (1366 x 768) LCD: 15 displays 20

21 Research Institute for Information Technology, Kyushu University Image Processing PC Cluster: 6 computing nodes * Prioritize the visualization by users of PC cluster for the largescale visualization. Software resources AVS Express/MPE, IDL AVS Express/MPE, IDL Usage L2VPN Ready (1) Visualization environment Visualization server (SGI Asterism), 4K projector, and 4K monitor Usage L2VPN Ready 21

22 Attachment 2 The following are possible examples of Research projects using both large-scale data and large capacity networks described in Attention 2 of "1. Joint Research Areas" in the call for proposals. The purposes of this attachment are to present, by example, how research resources provided by JHPCN member institutions may be used. We appreciate proposals of joint research projects using both large-scale data and large capacity networks, not limited to those examples. Information Initiative Center, Hokkaido University Distributed systems (virtual private cloud systems) can be deployed using our cloud system / data science cloud system federated with computational resources of the other universities or the applicant s laboratory, connected via SINET L2VPN or with software VPN solutions. Available resources Supercomputer system, Cloud system, data science cloud system (c.f. Attachment 1.) How to use Dedicated systems can be developed for the collaborative research projects employing physical and virtual servers as virtual private clouds. Distributed systems can also be developed by connecting our cloud resources with servers and storages in the users laboratories as hybrid cloud systems. The users can access the systems not only via ssh/scp but also with virtual console, which provided by Cloud Middleware,through web browsers. address for inquiring about resource usage and joint research kyodo@oicte.hokudai.ac.jp Details of anticipated projects - Experiment data analysis platform in the intercloud environment: constructing a data store, analysis, and sharing infrastructure employing virtual/real machines and storages of the cloud system / data science cloud system of Hokkaido university connected to computational resources of the other universities via SINET L2VPN. - Development of a large-scale pre/post-processing environment federating supercomputers and intercloud systems: developing a large-scale distributed processing environment such as performing analysis of big data generated by supercomputers using Hadoop clusters to visualize at the other universities remote systems. - An always-on platform to support network-oriented research projects: development of a 22

23 nation-wide distributed high-speed networking platform employing the cloud system / data science cloud system of Hokkaido university and private clouds of the other universities connected via SINTE5 L2VPN. Cyberscience Center, Tohoku University Cyberscience center provides vector parallel and scalar parallel supercomputers, a distributed data sharing environment through on-demand L2VPN, and a large-scale remote visualization environment with other centers. These environments allow users to share and analyze vast amounts of observed data obtained by sensors or IoT devices. We strongly invite proposals that try to exploit the potential of these environments. For example, joint research regarding the realtime analytics using supercomputers, and storage/network architectures for a large-scale distributed data sharing. Available resources Storage (500TB / project) 3D visualization system Supercomputers(SX-ACE, LX406 Re-2) On-demand L2VPN 23

24 Software resources OS Redhat Enterprise Linux 6 Programing languages LX406 Re-2: Fortran,C, C++, Ruby, Python, java, etc. SX-ACE : Fortran, C, C++ Application software Basic applications provided by Cyberscinece Center and original codes developed by users. We also support installing/migrating required software to our system. (please contact us in advance.) How to use Supercomputers (LX406 Re-2, SX-ACE) log in to the compute nodes using ssh transfer files to the node using the scp / sftp Network Possible to build L2VPN on SINET5 Storage Possible to use remote mount by NFS through L2VPN address for inquiring about resource usage and joint research joint_research@cc.tohoku.ac.jp Details of anticipated projects (in japanese) 24

25 Information Technology Center, the University of Tokyo Available resources and Connectivity to SINET5 (1) Reedbush System We would like to offer Reedbush-U, H, and L systems for Big-Data analyses using Burst Buffer (DDN IME) which incorporates high-speed and high-capacity SSD storages. In addition, we will offer the direct connection via SINET5 L2VPN for login-node of Reedbush-U and L (Please ask us for detailed configuration). Available Resources Reedbush-U, H, L System Software resources Refer to description of Reedbush-U, H, L System in Attachment 1. How to use You can directly login to the nodes via remote network with SSH. You can transfer data via remote network with SCP / SFTP. You can directly access to login node via SINET5 L2VPN (negotiable for Reedbush-U and L). (2) FENNEL and Network Access Storage We, Information Technology Center in the University of Tokyo, would like to offer a Big-Data analysis infrastructure in which a researcher can take sole usage of its resources. The key design concept of the infrastructure is to facilitate real-time analysis and accumulating intermittently generated data. Further, we will also offer an environment which can connect both your own 25

26 resources and our resources with SINET L2VPN service. The anticipated issues for this resources are IoT Big-Data analysis, SNS message analysis, anomaly detection of network traffic, and etc. Overview of FENNEL Available Resources FENNEL (Real-Time Dana Analysis Nodes) x 4 nodes At maximum four VMs or one bare metal server are provided to each group. The provided VMs or a bare metal server are dedicated to the group. GPGPU (Nvidia Tesla M60) is available on request. Network Access Storage (150TB) 10GbE Network Access Rack Space (with our Housing Service: You can bring your own devices into our datacenter and connect to the network) Software resources OS Ubuntu 16.04, Ubuntu 17.04, CentOS 7.4 Programming languages Python, Java, R Application software Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, Presto, Elastic Search, Chainer, Tensor Flow 26

27 How to use FENNEL (Dedicated and Real-Time Data Analysis Nodes) You can directly login to the nodes via remote network with SSH. You can transfer data via remote network with SCP / SFTP. You can use GPGPU on VM if you want. Network Access Storage (NAS) You can mount with iscsi, NFS and/or CIFS protocol via SINET5 L2VPN. You can use data proxy to store your own data that you obtain form your own sensor devices. The volumes provided by the storage can be mounted on VMs as native filesystem. address for inquiring about resource usage and joint research jhpcn.adm@gs.mail.u-tokyo.ac.jp Details of anticipated projects GSIC, Tokyo Institute of Technology Machine learning jobs, especially in deep learning which recently attracts great attention, require both storage resources for storing large scale I/O data and high performance computation resources. For these jobs, we provide environment for large-scale high-performance machine learning by using lots of GPUs (>2,000 in the whole system) and large storage (up to 300TB per user group) equipped by the TSUBAME3.0 supercomputer. By using pre-installed frameworks that harnesses GPUs, acceleration of research projects of large scale machine learning is expected. 27

28 Available Resources Refer to description of TSUBAME3.0 in Appendix 1. Especially, 4 Tesla P100 GPUs per node are available. Software resources Refer to description of TSUBAME3.0 in Appendix 1. The followings are highly related items to this page: - OS: SUSE Linux Enterprise Server 12 SP2 - Programming Languages: Python, Java SDK, R Application software: Caffe, Chainer, TensorFlow How to use TSUBAME3.0 Same as regular usage. address for inquiring about resource usage and joint research jhpcn-kyoten@gsic.titech.ac.jp Details of anticipated projects Information Technology Center, Nagoya University We provide SGI UV2000 subsystem for very large scale data processing research field which is a large scale shared memory system equipping various storage system. UV2000 subsystem equips 10TB memory based file system by utilizing large scale shared memory, SSD file system which is superior in random access performance, and 2.9PB HDD array which is connected with DAS as storage systems. You have to include planned quota in proposal. UV2000 subsystem equips scikit-learn and TensorFlow libraries for machine learning and deep learning usage. Additionally, Fujitsu PRIMERGY CX400 subsystem equips many CPU cores including Intel Xeon Phi (Knights Corner) so that it is suitable for data processing which requires much CPU power. We are just supposing them for very large scale data processing or real-time large scale information collection and summarizing from the Internet, as research candidates for this subsystem. We provide up to 40GBASE network connection for very large bandwidth network technology research field. You can connect your own system to given network port (with own optical modules) to create very large bandwidth network experiment environment by creating L2 flat network via 28

29 SINET L2VPN for external university and internal university VLAN. We are just supposing it for large scale parallel data processing with utilizing remote computer systems or speculative data caching via large bandwidth network, as research candidates for this resource. We provide visualization subsystem and visualization software suite which can utilize from remote environment for very large scale information system research field. The subsystem is connected to SGI UV2000 subsystem and we execute the visualization software suite on UV2000 subsystem. We are just supposing them for remote visualization processing, VR teleconferencing system which accelerates brain storming, and high performance communication protocol to realtime remote visualization, as research candidates for this subsystem. A subsystem for very large scale data processing by data supply speed oriented system (with SSD file system) Border switch super core SW SINET5 vpc 10Gx4 100G (10G) 40Gx2 10G Experiment with very large network bandwidth with 40GBASE(max) connection and SINET L2VPN connection 40G 10G Fujitsu PRIMERGY CX400/2550 Fujitsu PRIMERGY CX400/270 A subsystem for very large scale data processing by CPU core amount oriented system (with Xeon Phi) HDD array storage InfiniteStorage PB File system with SSD 512TB Visualization system with file system controller 1280 cores (24TF/s), 20TiB shared memory A visualization subsystem for very large scale information system High resolution display system 7680 x 4320 resolution 4m width x 2.3m height (16 tiles) Handy type HMD system Stationary type HMD system Dome type display system Available Resources 1. SGI UV2000 subsystem (1280 cores, 24 TF, 20TiB shared memory) + memory base file system + SSD file system + HDD array (2.9PB) 2. Fujitsu PRIMERGY CX400 subsystem 3. Visualization subsystem: HMD system (Canon HM-A1, nvisorst50, Sony HMZ-T2), dome type display system, 8K display system 4. Network connection up to 40GBASE (with internal university VLAN and SINET 29

30 L2VPN configuration) Software resources 1. SGI UV2000 subsystem OS SuSE Linux Enterprise Server Compilers Fortran/C/C++, Python (2.6, 3.5) Libraries MPT(SGI), MKL(Intel), PBS Professional, FFTW, HDF5, NetCDF, scikitlearn, TensorFlow Application software AVS/Express Dev/PCE, EnSightHPC, FieldviewParallel, IDL, ENVI(SARscape), ParaView, 3DAVSplayer, POV-Ray, NICE DCV(SGI), ffmpeg, ffplay, LS-prepost, osgviewer, vmd(visual Molecular Dynamics) 2. Fujitsu PRIMERGY CX400 subsystem OS Red Hat Enterprise Linux Compilers Fujitsu Fortran/C/C++/ XPFortran,Intel Fortran /C/C++, Python (2.7, 3.3) Libraries MPI(Fujitsu, Intel), BLAS, LAPACK, ScaLAPACK, SSLII(Fujitsu), C-SSL II, SSL II/MPI, MKL(Intel), NUMPAC, FFTW, HDF5, IPP(Intel) Application software LS-DYNA, ABAQUS, ADF, AMBER, GAMESS, Gaussian, Gromacs, LAMMPS, NAMD, HyperWorks, OpenFOAM, STAR-CCM+, Poynting, Fujitsu Technical Computing Suite 4 (HPC Portal) 3. Visualization subsystem Visualization software suite AVS/Express Dev/PCE, EnsightHPC, 3DAVSPlayer, IDL, ENVI(SARscape), ParaView, osgviewer, EasyVR, POV-Ray, 3dsMAX, 3-matic, VMD, ffmpeg, ffplay, LS-prepost How to use Remote login with ssh through login node. You can use remote visualization by VisServer on UV2000 subsystem. File transfer with scp / sftp through login node. Job posting and job management through Fujitsu Technical Computing Suite (HPC Portal). address for inquiring about resource usage and joint research kyodo@itc.nagoya-u.ac.jp Very large scale numerical calculation field: Takahiro Katagiri (High Performance Computing Division) Very large scale data processing field: Takahiro Katagiri (High Performance Computing Division) Very large bandwidth network technology field: Hajime Shimada (Advanced 30

31 Networking Division) Very large scale information system field: Masao Ogino (High Performance Computing Division) Details of anticipated projects Academic Center for Computing and Media Studies, Kyoto University We will provide the infrastructure for collecting large scale data from laboratory equipment and observation equipment possessed by researchers via large capacity network or internet such as Kyoto University internal LAN (KUINS) or SINET5 L2VPN for 24 hours a day, 365 days and analyzing them with a supercomputer system in real time or periodically then offering information of the results on the Web. Available resources Supercomputer system Cray XC40 (Camphor 2: Xeon Phi KNL/node) Each project is assigned up to 48 nodes throughout the year. DDN ExaScaler (SFA14K) Each project is assigned up to 192TB Mainframe System Virtual Server Hosting Virtualized environment: VMWare Standard Spec: CPU 2 Cores, Memory 8GB, Disk capacity 1TB Software resources Supercomputer system Compilers Fortran2003/C99/C++03(Cray, Intel) Libraries MPI, BLAS, LAPACK, ScaLAPACK Mainframe System VM Hosting Standard OS: CentOS7 How to use Supercomputer system Login with SSH (Key authentication) Mainframe System VM Hosting Login with SSH (Granting Root authority) Access by various service port such as HTTP (80/TCP) or HTTPS (443/TCP) Multiple virtual domains are available 31

32 Kyoto University internal LAN (KUINS) VLAN and SINET5 L2VPN can be housed directly in VM address for inquiring about resource usage and joint research Cybermedia Center, Osaka University Our center provides L2 VPN connection service between other site and Osaka University testbed network through SINET. It aims to construct an environment of sharing visualization contents with our systems, devices and storages. Please contact us for detail of our service, usage of our resources or research collaboration. address for inquiring about resource usage and joint research Details of anticipated projects Research Institute for Information Technology, Kyushu University We provide a remote visualization and data analytic infrastructure that researchers can use from 32

33 remote sites. The provided system allows us to process generated large-scale data without moving, thus efficient processing is possible. Besides, if available, L2VPN enables the combined usage of resources between end users and bases. The provided resources are assumed to be used for research subjects that visualize and analyze large-scale parallel simulation and/or observation data. Available user scenarios are batch mode (use the back-end nodes), interactive mode (use the front-end nodes), and in-situ mode (use both the front-end and the back-end nodes simultaneously). If the data you generated does not correspond to the data format of the provided software or the supplied system does not have the analysis function you want, consultation is available. Available resources Hardware resources Subsystem A, Subsystem B, Standard Frontend (c.f. Attachment 1.) Software resources OS Linux Programming languages Python, R Application software Tensor Flow, OpenFOAM, HIVE(Visualization) How to use Batch environment 33