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Yamamoto Lab
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A lab that makes simulations faster and larger through matrix computation and high-performance computing.
AboutAbout the lab
Faster and more accurate computation, centered on matrix computation.
The Yamamoto Lab studies numerical algorithms centered on matrix computation, and their implementation using high-performance computing technology.
Matrix computations, such as solving systems of linear equations with sparse coefficient matrices and computing eigenvalues, are among the most fundamental building blocks of scientific computing.
The lab collaborates with researchers in application fields and applies the algorithms and high-performance computing technology it has developed to real problems, running large-scale simulations.
Key terms
- matrix computation
- Computations such as solving systems of linear equations and finding eigenvalues. One of the fundamental building blocks of scientific computing
- GPU
- Short for graphics processing unit. Along with many-core processors, it is a type of computer with a newer architecture
- first-principles molecular dynamics
- A method that simulates the motion of atoms based on quantum mechanics
ResearchResearch themes
The lab studies matrix computation algorithms, which are fundamental to scientific computing, and implementation techniques for running them efficiently on the latest computers. It collaborates with researchers in application fields and applies its results to large-scale simulations.
*Illustrative imageFast, high-accuracy matrix computation algorithms
The lab develops new algorithms for efficiently solving systems of linear equations with sparse coefficient matrices and computing eigenvalues on the latest computers. To guarantee performance and improve reliability, it also carries out theoretical analysis of convergence and errors.
*Illustrative imageHigh-performance computing techniques that bring out the full performance of computers
The lab studies implementation methods that bring out the performance of new computers such as parallel computers, GPUs, and many-core processors. Its challenges include balancing the load among processors, reducing synchronization and communication overhead, and making effective use of cache memory.
*Illustrative imageApplication to large-scale simulations
The lab collaborates with researchers in application fields and applies its algorithms and high-performance computing techniques to real problems. It is speeding up and scaling up computations in first-principles molecular dynamics and glass crack simulations.
MembersFaculty
- Yusaku Yamamoto
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: “Extended Sparse Matrix” Yetanotherwikier / CC BY-SA 4.0 (cropped)
- Fast, high-accuracy matrix computation algorithms: “Mathematics lecture notes, Mathematical analysis, Linear algebra, Rostov-on-Don, Russia” Vyacheslav Argenberg / CC BY 4.0 (cropped)
- High-performance computing techniques that bring out the full performance of computers: “Oak Ridge - Kraken (Cray XT5)” Daderot / Public domain (cropped)
- Application to large-scale simulations: “Visual Molecular Dynamics visualization” Toughpkh / Public domain (cropped)
- Related lab (Koizumi Lab): “Stylised flower as light installation in public park Rudaki, Dushanbe, Tajikistan” Stesso / CC0 (cropped)
- Related lab (Yamazaki Lab): “RIKEN R-CCS Fugaku” Barsaka2 / CC0 (cropped)
- Related lab (Tatuno Lab): “Lampe plasma deuxieme generation - simulation solaire” Lumieresuisse / CC BY-SA 3.0 (cropped)
- Related lab (Takahashi Lab): “Microcosm of London Plate 006 - Auction Room, Christie's (colour)” Thomas Rowlandson (1756–1827) and Augustus Charles Pugin (1762–1832) (after) John Bluck (fl. 1791–1819), Joseph Constantine Stadler (fl. 1780–1812), Thomas Sutherland (1785–1838), J. Hill, and Harraden (aquatint engravers)[1] / Public domain (cropped)
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