Akiho Kawada
Undergrad @ the University of Tokyo
Visiting Student @ University of California, Santa Barbara
Hello, my name is Akiho Kawada (in Japanese 河田 顕帆).
I’m an undergrad (4th year) at Systems Innovation, Faculty of Engineering, the University of Tokyo. I am fortunate to be advised by Prof. Yutaka Matsuo and Prof. Yusuke Iwasawa at Matsuo-Iwasawa Lab.
Additionally, I am currently a visiting student researcher in Computer Architecture Lab at the University of California, Santa Barbara, supervised by Prof. Jonathan Balkind.
My primary research interests are centered around computer architecture and software-hardware co-design.
I aim to pursue a Ph.D. in electrical engineering / computer sciences at universities in the US or Europe after earning my bachelor's degree.
News
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I will be presenting our paper, titled ‘A 250.3mW Versatile Sound Feature Extractor Using 1024-Point FFT 64-ch LogMel Filter in 40nm CMOS’, on November 8, 2024 in Taipei at APCCAS 2024.
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I will be visiting UCSB Computer Architecture Lab as a visiting student from October 25th - December 20th, 2024.
Publications
- A 250.3mW Versatile Sound Feature Extractor Using 1024-Point FFT 64-ch LogMel Filter in 40nm CMOS
Akiho Kawada, Kenji Kobayashi, Jaewon Shin, Rei Sumikawa, Mototsugu Hamada, Atsutake Kosuge
Accepted for presentation at IEEE Asia Pacific Conference On Circuits and Systems (APCCAS) 2024
Projects
- 【Google Summer of Code (GSoC) 2024】Transforming the OpenHW High Performance Data Cache into a High Performance Instruction Cache
- Extending the high-performance data cache (HPDC) (developed by CEA) integrated into the CVA6/Ariane core to also function as a L1 instruction cache.
- 【Asia Pacific Conference On Circuits and Systems (APCCAS) 2024】A 250.3mW Versatile Sound Feature Extractor Using 1024-Point FFT 64-ch LogMel Filter in 40nm CMOS
- developed energy-efficient hardware that extracts from audio data features with frequency characteristics, specifically log mel spectrograms, used in machine learning