Reconfigurable IBM PC Compatible SoC for Computer Architecture Education and Research. - Eri Ogawa; Yuki Matsuda 003; Tomohiro Misono; Ryohei Kobayashi 001; Kenji Kise (MCSoC, 2015)

An Effective Page Padding Method for RAM Buffer Algorithms to Enhance the SSD Endurance. - Eri Ogawa; Kenji Kise (CANDAR, 2016)

A Compiler for Deep Neural Network Accelerators to Generate Optimized Code for a Wide Range of Data Parameters from a Hand-crafted Computation Kernel. - Eri Ogawa; Kazuaki Ishizaki; Hiroshi Inoue; Swagath Venkataramani; Jungwook Choi; Wei Wang 333; Vijayalakshmi Srinivasan; Moriyoshi Ohara; Kailash Gopalakrishnan (COOL CHIPS, 2019)

DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator. - Swagath Venkataramani; Jungwook Choi; Vijayalakshmi Srinivasan; Wei Wang 333; Jintao Zhang; Marcel Schaal; Mauricio J. Serrano; Kazuaki Ishizaki; Hiroshi Inoue; Eri Ogawa; Moriyoshi Ohara; Leland Chang; et al. (IEEE Micro, 2019)

Efficient AI System Design With Cross-Layer Approximate Computing. - Swagath Venkataramani; Xiao Sun 013; Naigang Wang; Chia-Yu Chen; Jungwook Choi; Mingu Kang; Ankur Agarwal; Jinwook Oh; Shubham Jain; Tina Babinsky; Nianzheng Cao; Thomas W. Fox; et al. (Proc. IEEE, 2020)

RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. - Swagath Venkataramani; Vijayalakshmi Srinivasan; Wei Wang 333; Sanchari Sen; Jintao Zhang; Ankur Agrawal; Monodeep Kar; Shubham Jain; Alberto Mannari; Hoang Tran; Yulong Li; Eri Ogawa; et al. (ISCA, 2021)

Dynamic Possible Source Count Analysis for Data Leakage Prevention. - Eri Ogawa; Tetsuro Yamazaki; Ryota Shioya (MPLR, 2024)

Dynamic Controllability Analysis for Preventing Injection Attacks. - Eri Ogawa; Tetsuro Yamazaki; Ryota Shioya (PRDC, 2024)