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Advanced Computational Science Lab (Kazuki Yoshizoe)
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A division of the institute that researches parallel computing and high-performance computing.
AboutAbout the lab
Research on parallel computing and high-performance computing
The Division of Advanced Computational Science is part of the Research Institute for Information Technology at Kyushu University, and its faculty members research areas such as high-performance computing.
The institute conducts research and development across a wide range of information-related fields, centered on computational science, information science, and data science, and provides computing services such as supercomputer systems to researchers nationwide.
Faculty research descriptions include dynamic optimization of communication libraries, which let computers communicate efficiently with each other in parallel computing, and research on computation using GPUs.
The institute is located in the West Zone of Ito Campus.
Key terms
- Parallel computing
- A method of dividing a computation among multiple computers and carrying it out simultaneously. For large-scale computation, the mainstream approach is to connect multiple computers over a network.
- Communication library
- A software component that enables computers to communicate efficiently with each other in parallel computing.
- Dynamic optimization
- A technique that adjusts a program's internal algorithms and parameters based on information gathered while it is running.
ResearchResearch themes
Research by faculty in this division includes high-performance computing, parallel computing, and GPU-based computing. Research descriptions are published for each faculty member; this page presents the themes listed in the researcher profiles of Associate Professor Takeshi Nanri and Associate Professor Satoshi Ohshima.
*Illustrative imageFoundational technologies for highly scalable parallel computing
The division works on research and development of foundational technologies for highly scalable parallel computing. Its keywords are scalability, parallel computing, and high-performance computing.
*Illustrative imageDynamic speedup of communication libraries
On large-scale parallel computers, basic performance varies with process placement and the influence of other jobs, so optimization based only on information available before execution is expected to become difficult. The division therefore studies dynamic optimization, which adjusts the internal algorithms and parameters of communication libraries using information collected during execution.
*Illustrative imageUsing code-generating AI in high-performance computing
The division studies how AI that generates programs (code-generating AI) can be used in the field of high-performance computing.
*Illustrative imageUsing GPU RT cores for computational science
The division studies how to use the RT cores built into GPUs in computational science.
MembersFaculty
- ProfessorKazuki Yoshizoe
- Associate ProfessorYoshitaka Watanabe
- Associate ProfessorTakeshi Nanri
- Associate ProfessorSatoshi Ohshima
- Associate ProfessorYuji Higuchi
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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: “Xserve cluster NASA” 作者不詳 / Public domain (cropped)
- Foundational technologies for highly scalable parallel computing: “End-of-life” Dennis van Zuijlekom / CC BY-SA 2.0 (cropped)
- Dynamic speedup of communication libraries: “Supermicro AOC-IBH-001 DDR InfiniBand mezzanine card” Dmitry Nosachev / CC BY-SA 4.0 (cropped)
- Using code-generating AI in high-performance computing: “Code on computer monitor (Unsplash)” Markus Spiske markusspiske / CC0 (cropped)
- Using GPU RT cores for computational science: “EVGA GeForce GTX 590” Intel Free Press / CC BY 2.0 (cropped)
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