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Supercomputing Lab
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The lab develops computing methods that draw out the full power of supercomputers and GPUs.
AboutAbout the lab
Drawing out the full power of supercomputers
The Supercomputing Lab studies computing methods that bring out the maximum performance of supercomputers and GPUs.
The lab develops linear solvers that quickly solve large-scale systems of linear equations, algorithms for GPUs, and methods for coordinating many compute nodes efficiently.
Key terms
- Linear solver
- A computational method for solving systems of linear equations with many unknowns
- GPU
- A computing chip that originated in image processing and is good at performing large numbers of calculations side by side at the same time
- Annealing computation
- A computational method, modeled on the process of slowly cooling metal, that searches for good answers among a huge number of combinations
NewsLab news
A paper by Associate Professor Yasudo and colleagues was published in International Journal of Networking and Computing
A master's student received the Outstanding Presentation Award at the conference of the Society of Geomagnetism and Earth, Planetary and Space Sciences
A paper on a nested Krylov method using half-precision arithmetic was accepted at the international conference SC25
A paper by Assistant Professor Suzuki and colleagues was published in ACM Transactions on Mathematical Software
A paper by Professor Iwashita and colleagues was published in IEEE Transactions on Magnetics
ResearchResearch themes
The lab studies high-performance linear solvers, algorithms and implementation techniques for GPUs, and highly efficient implementations on supercomputers.
*Illustrative imageHigh-performance linear solvers
The lab studies how to solve systems of linear equations with sparse matrices, which frequently arise in application fields. It speeds up the ICCG method and multigrid methods using mixed-precision arithmetic and new parallel processing techniques.
*Illustrative imageDrawing out the power of GPUs
Making use of the high parallel processing capability of GPUs, which are installed in many supercomputers, and of arithmetic units specialized for particular computations, the lab develops new algorithms and implementation techniques that speed up computations such as those on sparse matrices.
*Illustrative imageComputing efficiently across the whole supercomputer
On supercomputers made up of many compute nodes, the lab develops algorithms that can run in parallel across multiple nodes and methods that reduce communication between nodes.
*Illustrative imageSolving combinatorial optimization with GPUs and light
Associate Professor Yasudo studies a method that uses reinforcement learning to perform annealing computation on multiple GPUs for solving combinatorial optimization problems (QUBO). He has also proposed an optical Ising machine that uses laser chaos.
MembersFaculty
The faculty of the Supercomputing Lab are Professor Takeshi Iwashita, Associate Professor Ryota Yasudo, and Assistant Professor Kengo Suzuki.
- ProfessorTakeshi Iwashita
- Associate ProfessorRyota Yasudo
- Assistant ProfessorKengo Suzuki
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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: “End-of-life” Dennis van Zuijlekom / CC BY-SA 2.0 (cropped)
- High-performance linear solvers: “Hessian matrix with columns coloured” Gowerrobert / CC BY-SA 3.0 (cropped)
- Drawing out the power of GPUs: “GPU blade with glycol cooling ( )” Steve Jurvetson / CC BY 4.0 (cropped)
- Computing efficiently across the whole supercomputer: “BalticServers data center” BalticServers.com / CC BY-SA 3.0 (cropped)
- Solving combinatorial optimization with GPUs and light: “D-Wave-Washington-1000Q” Mwjohnson0 / CC BY-SA 4.0 (cropped)
- Related lab (応用数理科学): “Multiphase Flow Stirred Reactor” SimScale GmbH / CC BY-SA 4.0 (cropped)
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デザイン): “Itodenwa” Los688 / Public domain (cropped) - Related lab (コンピュータソフトウェア): “Source code in Javascript” Romainhk / CC BY-SA 3.0 (cropped)
- Related lab (知能計算): “Water Dolphin” JJ Harrison (https://www.jjharrison.com.au/) / CC BY-SA 3.0 (cropped)
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