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High Performance Computing Systems Lab
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A research division on the high performance computing systems that support ultra-fast, large-scale computation.
AboutAbout the lab
High performance computing systems that support computational science
The High Performance Computing Systems Division studies the hardware and software that support the ultra-fast, large-scale computation required by cutting-edge computational science.
As a division of the Center for Computational Sciences, University of Tsukuba, it works with the teams in each application field within the center, aiming to provide high performance computing systems suited to real problems.
Its research covers a wide range of topics, including computer architecture, parallel programming languages, numerical methods and libraries, accelerator systems such as GPUs, large-scale distributed storage, and grid and cloud environments.
The description on the research page was last updated in December 2019.
Key terms
- GPU
- A processing unit originally built for image processing. It can perform many calculations at the same time, so it is used to accelerate computation
- FPGA
- An integrated circuit whose circuit configuration the user can rewrite after manufacturing
- FFT
- Fast Fourier transform. A computational method that breaks signals or data down into frequency components for analysis
ResearchResearch themes
To meet the ultra-fast, large-scale computation demanded by cutting-edge computational science, the division researches and develops hardware and software for high performance computing (HPC). Its main themes are computing systems that combine GPUs and FPGAs, storage infrastructure for handling large volumes of data, and numerical methods for large-scale parallel computing.
*Illustrative imageComputers that combine GPUs and FPGAs
GPUs alone have difficulty delivering performance on workloads with low parallelism or frequent communication. The division studies a concept called AiS (Accelerator in Switch), which combines GPUs and FPGAs, and it is fully adopted in the supercomputer Cygnus, which began operation in April 2019.
*Illustrative imageStorage infrastructure for large-scale data
The division studies distributed object stores, assuming situations in which tens of thousands to hundreds of thousands of processes access data in parallel. It also uses the Gfarm file system to speed up the processing of astronomical data captured by HSC (Hyper Suprime-Cam) on the Subaru Telescope.
*Illustrative imageNumerical algorithms for large-scale parallel computing
FFTE, an open-source parallel FFT library developed by the division, supports a wide range of systems from PC clusters to massively parallel systems. The division also studies numerical methods for computing approximate solutions of systems of linear equations with multiple right-hand-side vectors with high accuracy, and has developed the Block GWBiCGSTAB method.
MembersFaculty
The members of the High Performance Computing Systems Division consist of faculty members, researchers, visiting professors, and collaborating researchers from the Faculty of Engineering, Information and Systems.
- ProfessorOsamu Tatebe
- ProfessorDaisuke Takahashi
- ProfessorAkira Nukada
- ProfessorMiwako Tsuji
- Associate ProfessorHiroto Tadano
- Assistant ProfessorNorihisa Fujita
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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: “GIK Institute High Performance Computing Cluster” Me.hassan91 / CC BY-SA 3.0 (cropped)
- Computers that combine GPUs and FPGAs: “RedPitaya STEMLab FPGA v1.1 topview” Geek3 / CC BY-SA 4.0 (cropped)
- Storage infrastructure for large-scale data: “Racks Amravati Data Center” PiDatacenters / CC BY-SA 4.0 (cropped)
- Numerical algorithms for large-scale parallel computing: “Dutch national supercomputer "Huygens"” Dennis van Zuijlekom / CC BY-SA 2.0 (cropped)
- Related lab (素粒子物理研究部門): “Last photograph from the Saclay Bubble Chamber” CERN / CC BY 4.0 (cropped)
- Related lab (計算情報学研究部門 データ基盤分野): “Wikimedia Foundation Servers-8055 15” Victorgrigas / CC BY-SA 3.0 (cropped)
- Related lab (計算情報学研究部門 計算メディア分野): “Augmented Reality Headset 03” This image is a work by Wikipedia and Wikimedia Commons user C.Suthorn. When reusing, credit me as described in the Licensing information below. I would appreciate being notified (wikimail, talk page, , Social Media) if you use my work outside Wikimedia. Do not copy this image illegally by ignoring the terms of the license below, as it is not in the public domain. If you would like special permission to use, license, or purchase the image please contact me to negotiate terms. More of my work can be found in my personal gallery or at my Peertube channel. A prepared attribution especially for use in Social Media and Print (newspapers, flyers, books, murals, mousepads, mugs, posters, t-shirts) can be copied here / CC BY-SA 4.0 (cropped)
- Related lab (宇宙物理研究部門): “Center of the Milky Way Galaxy IV – Composite” NASA/JPL-Caltech/ESA/CXC/STScI / Public domain (cropped)
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