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Advanced High-Performance Computing Infrastructure Systems Lab
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The lab studies how to build and make use of computing infrastructure such as supercomputers.
AboutAbout the lab
Building computing infrastructure and drawing out its performance
The Advanced High-Performance Computing Infrastructure Systems Lab (Date Lab) conducts research and development on computing infrastructure, including supercomputers.
Computing infrastructure is the foundation for large-scale computation such as AI development and numerical simulation.
The lab studies how to build computing infrastructure, how to draw out the maximum performance of the infrastructure from applications, and how to bridge the infrastructure and applications.
The lab is housed at the D3 Center of Osaka University and is a cooperating lab of the Graduate School of Information Science and Technology and the School of Engineering.
Key terms
- Computing infrastructure
- The foundation for large-scale computation such as AI development and numerical simulation, including supercomputers
- GPU
- A type of accelerator used together with processors to speed up computation
- Digital twin
- A system that highly integrates cyberspace (virtual space) and physical space (real space)
- Ultra-distributed computing
- An environment that processes data by linking widely distributed IoT devices, edge, cloud, and supercomputers
NewsLab news
Associate Professor Takahashi received the “Best Demo Runner-up Award” (2026 IEEE International Confe…)
A paper by Professor Date and colleagues was published in the IPSJ Transactions on Digital Practice (TDP)
Associate Professor Takahashi received the “47th Japan Society of Applied Physics Outstanding Paper Award”
Lecturer Kojima received the “Best Moodle Open Course Award 2025, Grand Prize” (Japan Moodle Association)
Project Assistant Professor Hayami received the “Osaka University Award (University Administration category)”
ResearchResearch themes
The lab pursues the realization of cyberinfrastructure that supports academia and industry in Japan. It conducts research and development on the elemental technologies that make up next-generation supercomputing, computing and data infrastructure technologies centered on cloud systems, and their applications.
*Illustrative imageHigh-performance computing and data analysis technologies
The lab studies technologies for computing and analyzing simulation and AI applications quickly and efficiently, using cutting-edge processors and accelerators such as GPUs.
*Illustrative imageHPC–AI integration toward digital twins
Toward realizing digital twins in cyberspace that support Society 5.0, the lab conducts research and development on digital twins that fuse high-performance computing technology with AI.
*Illustrative imageUltra-distributed computing infrastructure
The lab aims to realize an environment that collects data from widely distributed IoT devices and processes it by dynamically forming a network connecting edge, cloud, and supercomputing systems.
MembersFaculty
The members of the Date Lab consist of faculty, faculty with concurrent appointments, visiting professors and associate professors, project researchers, researchers, doctoral and master's students, undergraduate students, research students, project administrative staff, and administrative assistants.As of 2026
- ProfessorSusumu Date
- Associate ProfessorKeichi Takahashi
- Project Associate ProfessorKota Sakakura
- LecturerKazuhide Kojima
- LecturerArata Endo
- Project Assistant ProfessorTomonori Hayami
- Project Assistant ProfessorWassapon Watanakeesuntorn
- Concurrent Associate ProfessorYasuhiro Watariba
- Concurrent Specially Appointed Associate ProfessorTakashi Soga
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “CSCS Supercomputer Alps 2” CS / CC BY-SA 3.0 (cropped)
- High-performance computing and data analysis technologies: “BIFI HPC CESAR” BIFI Institute / CC BY-SA 4.0 (cropped)
- HPC–AI integration toward digital twins: “Columbia Supercomputer - NASA Advanced Supercomputing Facility” Trower, NASA / Public domain (cropped)
- Ultra-distributed computing infrastructure: “Edge computing infrastructure” NoMore201 / CC BY-SA 4.0 (cropped)
- Related lab (Multimedia Agent Lab): “EZ-Robot Humanoid software” Bobjgalindo / CC BY 4.0 (cropped)
- Related lab (Intelligent Information Systems Lab): “Wikimedia Foundation Servers-8055 03” Victorgrigas / CC BY-SA 3.0 (cropped)
- Related lab (Data Generation Engineering Lab): “দোল উৎসব” Latentlife.archive / CC BY-SA 4.0 (cropped)
- Related lab (Big Data Engineering Lab): “NOIRLab HQ Server Racks (6V6A0404-CC)” NOIRLab/NSF/AURA/T. Slovinský / CC BY 4.0 (cropped)
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