Session Details
[B-5]In-Memory and Unconventional Computing II
Wed. Sep 4, 2024 9:00 AM - 10:30 AM JST
Wed. Sep 4, 2024 12:00 AM - 1:30 AM UTC
Wed. Sep 4, 2024 12:00 AM - 1:30 AM UTC
Room B (408)(4th Floor)
Session Chair: Kazuyuki Kouno (Nuvoton Technology Corp. Japan), Halid Mulaosmanovic (GlobalFoundries)
[B-5-01 (Invited)]Online Training with Analog RRAM Chips
Qi Qin1, Yue Xi1, 〇Bin Gao1 (1. Tsinghua Univ. (China))
[B-5-02]Voltage-Operating Reservoir Computing Utilizing a Ferroelectric Source Follower
〇Rikuo Suzuki1, Kasidit Toprasertpong1, Ryosho Nakane1, Eishin Nako1, Mitsuru Takenaka1, Shinichi Takagi1 (1. Univ. of Tokyo (Japan))
[B-5-03]Domain-Specific CiM Design for 3D Object Detection Network with Augmented Point Cloud, Multi-Stage Quantization Aware Training, and U-Quantization
〇Ayumu Nagai1, Yuya Ichikawa1, Chihiro Matsui1, Ken Takeuchi1 (1. The Univ. of Tokyo (Japan))
[B-5-04]Highly Robust and Large-Scale Quantized Neural Networks Using Hemi-Cylindrical Vertical NAND Flash Memory
〇Jin Ho Chang1, Ji Ho Uhm2, Joonggyu Kim3, Eunmee Kwon3, Woo Young Choi1 (1. Seoul National University (Korea), 2. Sogang University (Korea), 3. SK hynix Inc. (Korea))
[B-5-05 (Late News)]Quantized Convolutional Neural Network with Memristor Crossbar Array-based Kernel and Activation Operations
〇Jinwoo Park1, Sangwook Youn1, Hyungjin Kim1 (1. Hanyang Univ. (Korea))