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Ishihara-Masuda Lab
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The lab explores power-saving computation, from circuits to algorithms.
AboutAbout the lab
Studying computing methods that maximize energy efficiency
The Ishihara-Masuda Lab studies computing methods that maximize energy efficiency, covering a wide range from hardware design to computational algorithms.
The lab works on circuit design for approximate computing, which performs important computations accurately and the rest approximately, and on techniques for performing simple computations inside optical communication networks.
The lab also researches the use of fuzzing, a software testing technique, to verify approximate computing circuits.
Key terms
- Approximate computing
- A design approach that performs important computations accurately and the rest approximately, in order to save power and improve performance
- Fuzzing
- A testing technique for finding software defects. It is used to discover unknown bugs and vulnerabilities
- RISC-V
- An open-source processor design specification that is publicly available
NewsLab news
View More ↗ResearchResearch themes
The Ishihara-Masuda Lab studies computing methods that maximize energy efficiency, covering a wide range from hardware design to computational algorithms. The lab is advancing approximate computing, computing with optical technology, and the design and verification of approximate computing circuits.
*Illustrative imageEnergy-Efficient Computing
The lab studies computation using approximate arithmetic units, computation operating at extremely low voltage, and computation that performs matrix-vector multiplication near memory. It also studies adding an approximate arithmetic accelerator to RISC-V to maximize energy efficiency.
*Illustrative imageComputing Inside Optical Networks
The lab studies methods for executing simple computations inside optical communication networks. By transmitting signals at the speed of light, it aims for optical arithmetic units more than an order of magnitude faster than conventional CMOS integrated circuits, with a particular focus on accelerating neural networks.
*Illustrative imageDesign for Approximate Computing
The lab aims to develop CAD technology that supports approximate computing from circuit design through post-manufacturing testing. Focusing on the fact that performance varies from circuit to circuit, it seeks a design in which each circuit draws out 100% of its potential.
*Illustrative imageCircuit Verification Using Fuzzing
Aiming to guarantee the reliability of approximate computing circuits, the lab works on establishing verification techniques that use fuzzing. The starting point is the problem that it is necessary to verify which test patterns degrade computation quality.
MembersFaculty
The Ishihara-Masuda Lab consists of faculty members, researchers, master's and undergraduate students, and research students.As of 2026
- ProfessorTohru Ishihara
- Associate ProfessorYutaka Masuda
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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: “Ferranti F100-L Microprocessor Die Photograph” Revaldinho / CC BY 4.0 (cropped)
- Energy-Efficient Computing: “RISC-V EPAC” James Tamim / CC BY-SA 4.0 (cropped)
- Computing Inside Optical Networks: “Spread of light in optical fiber, Macro visualization, Demonstration of prof Angel Toshkov to students” AZToshkov / CC BY-SA 3.0 (cropped)
- Design for Approximate Computing: “Circuit Design” tronicszone / CC BY-SA 4.0 (cropped)
- Circuit Verification Using Fuzzing: “Test equipment at MIT flea.agr” ArnoldReinhold / CC BY-SA 4.0 (cropped)
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（高田・松原研究室） ): “Electronic Component” Electronicspices / CC BY-SA 4.0 (cropped) - Related lab (情報ネットワークシステム論講座 嶋田 創): “DOME-microDataCenterFull” RonaldGlider / CC BY-SA 4.0 (cropped)
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