LAB LOGA page on LabLog, a review site (not the lab's official page)
Taura Lab
Machine-translated · View original
The lab researches software that unlocks the power of high-performance parallel computers.
AboutAbout the lab
Bringing the power of parallel computers to more researchers.
Taura Lab researches parallel processing, distributed processing, system software, and programming languages.
Its main focus is software that makes it easy to write parallel programs that run at a high level of performance.
The lab aims to bring the power of high-performance parallel computers to researchers in a wider range of fields.
Key terms
- Parallel processing
- A way of processing in which one large computation is divided up and carried out at the same time by many processors
- GPU
- A processor with a very large number of computing cores, originally designed for image processing. It is widely used for AI and scientific computing
- LLM
- A large language model: an AI that learns from vast amounts of text and can understand and generate text
NewsLab news
A paper written by a student while an undergraduate accepted to the main conference of ICML 2026
An undergraduate student received the Dean of the Faculty of Engineering Award (Research) and the Outstanding Graduation Thesis Award
A paper by a researcher accepted to WWW 2026
A paper by Prof. Taura and a researcher accepted for oral presentation at AAAI 2026
A master's student received the Outstanding Student Award at SWoPP2025
ResearchResearch themes
The lab centers on software for performing parallel processing at a high level of performance, and also studies distributed processing, system software, and programming languages. It is currently also working on making GPUs and AI accelerators for LLMs easier to use and faster to run.
*Illustrative imageTask Parallelism on GPUs
Task parallelism executes chunks of work (tasks) in parallel according to their dependencies, which makes it possible to parallelize even complex programs. Although it does not fit well with how GPUs work, the goal of this theme is to build a runtime system that can execute it fast on GPUs.
*Illustrative imageMaking Multiple GPUs Easier to Use
Computations that use hundreds of GPUs at once require careful thought about communication between GPUs and where data is placed, which makes programs complicated. The lab aims to build an easy-to-use, high-performance multi-GPU runtime system for Chapel, a parallel programming language.
*Illustrative imageOptimizing for AI Accelerators
The lab studies software optimization on the Cerebras WSE, an AI accelerator designed for LLM computation and as large as a single wafer. Using computations commonly used in LLMs as examples, it examines fast algorithms and how to divide the computation among cores.
*Illustrative imageMemory on CPU-GPU Integrated Chips
The lab studies how to compute quickly while saving memory on a processor where the CPU and GPU can share a large amount of memory (NVIDIA GH200). It verifies, through measurement, techniques for data placement and memory management.
MembersFaculty
The members of Taura Lab consist of faculty, secretaries, postdoctoral researchers, doctoral, master's, and undergraduate students, and research students.As of 2026
- ProfessorKenjiro TauraPublications ↗
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
Who is this lab for?
What's great about this lab?
What did you learn after joining?
What's the vibe, and what is the professor like?
Where do graduates go?
RelatedLabs similar to Taura Lab
Matsuura LabFaculty of Engineering, Department of Information and Communication EngineeringInformation security research, from cryptography to networks…
Irie-Kadomoto LabFaculty of Engineering, Department of Information and Communication EngineeringResearch centered on processor architecture, encompassing la…
Minematsu-Saito LabFaculty of Engineering, Department of Information and Communication EngineeringVoice communication support using computers that speak, list…
Ikeda LabFaculty of Engineering, Department of Information and Communication EngineeringDesign and evaluation of new high-performance cryptographic …The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Linux supercomputing cluster” Leon Brooks / Public domain (cropped)
- Task Parallelism on GPUs: “Nvidia GM200 GeForce GTX 980 Ti die shot” Flickr - Fritzchens Fritz / CC0 (cropped)
- Making Multiple GPUs Easier to Use: “RibbonCutout1” Infestor / CC BY-SA 4.0 (cropped)
- Optimizing for AI Accelerators: “Wafer scale integrated circuit on 300 mm wafer” Wikideas1 / CC0 (cropped)
- Memory on CPU-GPU Integrated Chips: “Museo de Informática Histórica (MIH) - UNIZAR - Magnetic-core memory close up” José Luis Briz Velasco / CC BY-SA 4.0 (cropped)
- Related lab (Matsuura Lab): “BalticServers data center” BalticServers.com / CC BY-SA 3.0 (cropped)
- Related lab (Irie-Kadomoto Lab): “12-inch silicon wafer” Peellden / CC BY-SA 3.0 (cropped)
- Related lab (Minematsu-Saito Lab): “Long-window reassigned spectrogram of speech” Kelly Fitz / CC BY-SA 3.0 (cropped)
- Related lab (Ikeda Lab): “Silicon chip from a computer laser mouse under a microscope 50х” Original: Alexander Klepnev Derivative work: IamMM / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.