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High Performance Computing Lab
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A lab that studies high performance computing using parallel computing and GPUs.
AboutAbout the lab
Exploring high performance computing with parallel computing and GPUs
The High Performance Computing Lab studies high performance computing, including parallel computing and the use of GPUs.
Associate Professor Nanri researches the program execution environment on parallel computers, including dynamic optimization of communication libraries.
The lab's website serves as a gateway to the websites of the Ohshima Lab, the Watanabe Lab, and the Nanri Lab.
Key terms
- Parallel computing
- A method in which multiple computers or processors share a computation and carry it out at the same time
- GPU
- A processor originally designed for image processing, now also used for high performance computing
- Dynamic optimization
- A technique that adjusts the internal algorithms and parameters of a communication library based on information collected while a program is running
ResearchResearch themes
The lab studies high performance computing, including the program execution environment on parallel computers and computation using GPUs. This page introduces the research themes listed in the researcher profiles of Ohshima and Nanri.
*Illustrative imageUsing code-generating AI
The lab studies how to use code-generating AI in high performance computing.
*Illustrative imageUsing GPU RT cores
The lab studies how to use the RT cores built into GPUs in computational science.
*Illustrative imageFoundations for highly scalable parallel computing
The lab works on research and development of foundational technologies for highly scalable parallel computing.
*Illustrative imageDynamic optimization of communication libraries
On large-scale parallel computers, baseline performance varies depending on process placement and the influence of other jobs. The lab studies dynamic optimization, which tunes communication libraries using information collected during execution.
MembersFaculty
- Associate ProfessorSatoshi Ohshima
- Associate ProfessorTakeshi Nanri
- 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: “HPC Cluster at Kerala University” KannanVM / CC BY-SA 4.0 (cropped)
- Using code-generating AI: “Programmer writing code with Unit Tests” Joonspoon / CC BY-SA 4.0 (cropped)
- Using GPU RT cores: “Rendering techniques example, ray tracing, radiosity, photon mapping, POV-Ray” KaiaVintr / CC BY-SA 4.0 (cropped)
- Foundations for highly scalable parallel computing: “BIFI HPC CESAR” BIFI Institute / CC BY-SA 4.0 (cropped)
- Dynamic optimization of communication libraries: “Kraken Supercomputer ( )” Oak Ridge National Laboratory / CC BY 2.0 (cropped)
- Related lab (Cyber-Physical Computing Lab): “Superconducting Quantum-Limited Amplifier Chip in Navaho” OJB Quantum / CC BY 4.0 (cropped)
- Related lab (Information Systems Security Lab): “AI End-Scenario 1 Rogue Malware tamingtheaibeast” tamingtheaibeast.org / CC BY-SA 4.0 (cropped)
- Related lab (Wireless Communications Lab): “MIMO with building” Claudeb / CC BY-SA 4.0 (cropped)
- Related lab (Human Data Interaction Lab): “School of Data Science - University of Virginia - terrace” School of Data Science at the University of Virginia / CC BY 4.0 (cropped)
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