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 (DATE, 2013)

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 (ICCD, 2015)

7.2 4Mb STT-MRAM-based cache with memory-access-aware power optimization and write-verify-write / read-modify-write scheme. - Hiroki Noguchi; Kazutaka Ikegami; Satoshi Takaya; Eishi Arima; Keiichi Kushida; Atsushi Kawasumi; Hiroyuki Hara; Keiko Abe; Naoharu Shimomura; Junichi Ito; Shinobu Fujita; Takashi Nakada; et al. (ISSCC, 2016)

Evaluation of Power Management Control on the Supercomputer Fugaku. - Yuetsu Kodama; Tetsuya Odajima; Eishi Arima; Mitsuhisa Sato (CLUSTER, 2020)

Classification-Based Unified Cache Replacement via Partitioned Victim Address History. - Eishi Arima (DSD, 2020)

Pattern-Aware Staging for Hybrid Memory Systems. - Eishi Arima; Martin Schulz 001 (ISC, 2020)

Footprint-Aware Power Capping for Hybrid Memory Based Systems. - Eishi Arima; Toshihiro Hanawa; Carsten Trinitis; Martin Schulz 001 (ISC, 2020)

Power/Performance/Area Evaluations for Next-Generation HPC Processors using the A64FX Chip. - Eishi Arima; Yuetsu Kodama; Tetsuya Odajima; Miwako Tsuji; Mitsuhisa Sato (COOL CHIPS, 2021)

Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. - Issa Saba; Eishi Arima; Dai Liu; Martin Schulz 001 (ARCS, 2022)

Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps. - Eishi Arima; Minjoon Kang; Issa Saba; Josef Weidendorfer; Carsten Trinitis; Martin Schulz 001 (ICPP Workshops, 2022)

On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems. - Eishi Arima; Isaías Comprés; Martin Schulz 001 (ISC Workshops, 2022)

Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. - Urvij Saroliya; Eishi Arima; Dai Liu; Martin Schulz 001 (CLUSTER, 2023)

Sustainability in HPC: Vision and Opportunities. - Mohak Chadha; Eishi Arima; Amir Raoofy; Michael Gerndt; Martin Schulz 001 (SC Workshops, 2023)

Probabilistic Job History Conversion and Performance Model Generation for Malleable Scheduling Simulations. - Isaías Comprés; Eishi Arima; Martin Schulz 001; Tiberiu Rotaru; Rui Machado (ISC Workshops, 2023)

GreenCourier: Carbon-Aware Scheduling for Serverless Functions. - Mohak Chadha; Thandayuthapani Subramanian; Eishi Arima; Michael Gerndt; Martin Schulz 001; Osama Abboud (WOSC@Middleware, 2023)

Reinforcement Learning-Driven Co-Scheduling and Diverse Resource Assignments on NUMA Systems. - Urvij Saroliya; Eishi Arima; Dai Liu; Martin Schulz 001 (ICCD, 2024)