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Computational Science Lab
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A lab that builds the foundations of computational science, making simulations fast and correct.
AboutAbout the lab
Building the foundations for capturing phenomena through computation
The Computational Science Lab studies the foundational technologies for solving phenomena on computers.
As the foundations of computational science that cut across fields, it covers three areas: modeling, which turns phenomena into mathematical equations; parallel algorithms, which split large computations up to solve them quickly; and high-precision computing, which accounts for even numerical errors.
All three faculty members are primarily affiliated with the Research Institute for Information Technology, where they are also responsible for the operation, design, and construction of supercomputers and the development of numerical computing libraries that run on them.
It is a lab placed in the Information Science course of the Department of Physics, Faculty of Science, and in the Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering.
Key terms
- parallel algorithm
- A procedure for splitting a large computation across many computers or processing units and running the parts simultaneously to solve it quickly.
- verified numerical computation
- A numerical method that mathematically estimates the error bounds of an answer in order to guarantee the correctness of the result.
- large language model
- A model that has learned how words are arranged from large amounts of text. It is used for text generation and summarization.
ResearchResearch themes
As the foundations of computational science spanning simulation fields, the lab aims to establish technologies for modeling, parallel algorithms, and high-precision computing, and to extend them to their respective application areas. Three faculty members are in charge of modeling phenomena and using AI, parallelizing large-scale search, and guaranteeing computational accuracy, respectively.
*Illustrative imageSolving Phenomena as Mathematical Models
The lab seeks to understand natural and social phenomena through mathematical models and simulation. In recent years it has also worked on frameworks in which large language models and researchers collaborate, exploring how AI can help with building models and organizing hypotheses.
*Illustrative imageParallelizing Search Algorithms
This research parallelizes complex algorithms such as graph search at large scale. Besides game AI, including computer Go, the lab applies search and machine learning to chemical compounds (materials informatics) and to genetic analysis.
*Illustrative imageGuaranteeing the Correctness of Computation
Numerical computation is always accompanied by discretization error, which arises from dividing problems into small pieces, and by the rounding errors of computers. The lab studies verified numerical computation, which rigorously evaluates both and delivers answers complete with proofs of solution existence and error bounds.
MembersFaculty
- ProfessorKenji Ono
- ProfessorKazuki Yoshizoe
- Associate ProfessorYoshitaka Watanabe
VoicesStudent voices
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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: “Von Karman vortices off Rishiri Island, Japan” NASA / Public domain (cropped)
- Solving Phenomena as Mathematical Models: “Modelle von Flächen zweiter Ordnung nach A. Brill -Schilling, Cartonmodelle- (3)” Ramona Trusheim / CC BY-SA 3.0 (cropped)
- Parallelizing Search Algorithms: “Go” Dietmar Rabich / CC BY-SA 4.0 (cropped)
- Guaranteeing the Correctness of Computation: “An engineer's vise (jaws)” Dmitry Makeev / CC BY-SA 4.0 (cropped)
- Related lab (知能科学講座): “Brain-inspired cognitive architecture” Baba 496 / CC0 (cropped)
- Related lab (数理情報講座): “ZUSE Z22 vacuum tube 2” Sammlung der Medien und Wissenschaft / CC BY 4.0 (cropped)
- Related lab (複雑物性基礎研究室): “Moscow State University granular material” Artyom Svetlov / CC BY 4.0 (cropped)
- Related lab (量子宇宙物理理論研究室): “Universum” Heikenwaelder Hugo, Austria, , www.heikenwaelder.at / CC BY-SA 2.5 (cropped)
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