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High Performance Computing Lab
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A lab that researches computing techniques for making full use of supercomputers, and simulation.
AboutAbout the lab
Putting the power of supercomputers to work for scientific computing.
The High Performance Computing Lab studies high-performance computing (HPC).
The lab researches parallel processing algorithms and programming techniques for making effective use of large-scale parallel computing environments such as supercomputers, as well as the latest processors such as GPUs.
The lab also develops numerical computing libraries for matrix computations and numerical schemes for scientific and technical computing.
The lab belongs to the Information Initiative Center and also manages and operates Hokkaido University's supercomputers.
Key terms
- Parallel computing
- A method of solving problems faster by dividing the work among many processors and computing at the same time
- Numerical scheme
- The computational procedure and formulation used to solve an equation approximately on a computer
- System of linear equations
- The problem of finding a solution that satisfies several linear equations with multiple unknowns at the same time. It appears in many scientific and technical computations
NewsLab news
A doctoral student won the xSIG2025 Outstanding Effort Award
A master's student won the xSIG2025 Poster Award
A doctoral student and Associate Professor Fukaya, among others, won the HPC Asia 2024 Best Poster Award
ResearchResearch themes
The lab researches parallel and distributed computing so that scientific and technical computing applications run efficiently on supercomputers and similar systems, as well as implementation and tuning techniques for achieving high performance on the latest processors. It also develops numerical libraries that speed up matrix computations and numerical schemes that solve fundamental equations with high accuracy.
*Illustrative imageNumerical Linear Algebra Solvers
The lab studies methods for solving matrix problems such as systems of linear equations and eigenvalue problems. For equations with sparse matrices, which appear often in applications, it works on high-performance thread-parallel processing for the ICCG method and on the multigrid method, which is well suited to large-scale problems.
*Illustrative imageH-matrices (Hierarchical Matrices)
This is a technique for compressing dense matrix data with almost no loss of accuracy. The lab researches further speeding up H-matrix libraries and their use in application fields.
*Illustrative imageNumerical Schemes for Simulation
The lab develops numerical schemes for solving fundamental equations with high accuracy, such as the advection equation, relativistic equations of motion, and the equations for electromagnetic and sound waves.
*Illustrative imageSpace Plasma Simulation
To analyze fluctuations in the space plasma environment around the Earth, the lab develops its own plasma particle codes and Vlasov codes, and works on parallelization and performance tuning for large-scale parallel computing.
MembersFaculty
The members of the High Performance Computing Lab are faculty and students in the doctoral, master's, and undergraduate programs.As of 2026
- ProfessorTakayuki Umeda
- Associate ProfessorTakeshi Fukaya
- Assistant ProfessorYuki Satake
- Project Assistant ProfessorHarune Sekido
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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 1” Marco Abram, CSCS / CC BY-SA 3.0 (cropped)
- Numerical Linear Algebra Solvers: “Finite element sparse matrix” Oleg Alexandrov / Public domain (cropped)
- H-matrices (Hierarchical Matrices): “Hessian matrix with columns coloured” Gowerrobert / CC BY-SA 3.0 (cropped)
- Numerical Schemes for Simulation: “Surface waves” Roger McLassus / CC BY-SA 3.0 (cropped)
- Space Plasma Simulation: “Aurora From Space” NASA/Don Pettit / Public domain (cropped)
- Related lab (Large-Scale Knowledge Processing Lab): “Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Related lab (Information Knowledge Network Lab): “Code on computer monitor (Unsplash)” Markus Spiske markusspiske / CC0 (cropped)
- Related lab (Algorithms Lab): “Sorting shellsort anim” Simpsons contributor / CC0 (cropped)
- Related lab (Wireless Information and Communications Lab): “3D-printed antenna ( )” European Space Agency / CC BY-SA 2.0 (cropped)
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