| 2025 | SC | A GPU FFT Wrapper to Co-optimize Floating-Point Precision and Library Selection via Predictive Error Modeling. | Julius Lehner, Eishi Arima, Martin Schulz |
| 2024 | ICCD | Reinforcement Learning-Driven Co-Scheduling and Diverse Resource Assignments on NUMA Systems. | Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz |
| 2023 | CLUSTER | Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. | Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz |
| 2023 | SC | Sustainability in HPC: Vision and Opportunities. | Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz |
| 2020 | CLUSTER | Evaluation of Power Management Control on the Supercomputer Fugaku. | Yuetsu Kodama, Tetsuya Odajima, Eishi Arima, Mitsuhisa Sato |
| 2020 | DSD | Classification-Based Unified Cache Replacement via Partitioned Victim Address History. | Eishi Arima |
| 2015 | ICCD | Immediate sleep: Reducing energy impact of peripheral circuits in STT-MRAM caches. | Eishi Arima, Hiroki Noguchi, Takashi Nakada, Shinobu Miwa, Susumu Takeda, Shinobu Fujita, Hiroshi Nakamura |
| 2013 | DATE | D-MRAM cache: enhancing energy efficiency with 3T-1MTJ DRAM/MRAM hybrid memory. | Hiroki Noguchi, Kumiko Nomura, Keiko Abe, Shinobu Fujita, Eishi Arima, Kyundong Kim, Takashi Nakada, Shinobu Miwa, Hiroshi Nakamura |