Eishi Arima

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Heterogeneous Systems

Top Venues

Publications

Eishi Arima, Minjoon Kang, Issa Saba, Josef Weidendorfer, Carsten Trinitis, Martin Schulz
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps. CoRR (2024)
Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CoRR (2024)
Issa Saba, Eishi Arima, Dai Liu, Martin Schulz
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. CoRR (2024)
Eishi Arima, Isaías A. Comprés, Martin Schulz
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems. CoRR (2024)
Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz
Sustainability in HPC: Vision and Opportunities. CoRR (2023)
Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz
Sustainability in HPC: Vision and Opportunities. SC Workshops (2023)
Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. CoRR (2023)
Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. WOSC@Middleware (2023)
Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CLUSTER (2023)
Isaías Comprés, Eishi Arima, Martin Schulz, Tiberiu Rotaru, Rui Machado
Probabilistic Job History Conversion and Performance Model Generation for Malleable Scheduling Simulations. ISC Workshops (2023)
Issa Saba, Eishi Arima, Dai Liu, Martin Schulz
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. ARCS (2022)
Eishi Arima, Minjoon Kang, Issa Saba, Josef Weidendorfer, Carsten Trinitis, Martin Schulz
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps. ICPP Workshops (2022)
Eishi Arima, Isaías Comprés, Martin Schulz
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems. ISC Workshops (2022)
Eishi Arima, Yuetsu Kodama, Tetsuya Odajima, Miwako Tsuji, Mitsuhisa Sato
Power/Performance/Area Evaluations for Next-Generation HPC Processors using the A64FX Chip. COOL CHIPS (2021)
Yuetsu Kodama, Tetsuya Odajima, Eishi Arima, Mitsuhisa Sato
Evaluation of Power Management Control on the Supercomputer Fugaku. CLUSTER (2020)
Eishi Arima, Martin Schulz
Pattern-Aware Staging for Hybrid Memory Systems. ISC (2020)
Eishi Arima, Toshihiro Hanawa, Carsten Trinitis, Martin Schulz
Footprint-Aware Power Capping for Hybrid Memory Based Systems. ISC (2020)
Eishi Arima
Classification-Based Unified Cache Replacement via Partitioned Victim Address History. DSD (2020)
Hiroki Noguchi, Kazutaka Ikegami, Satoshi Takaya, Eishi Arima, Keiichi Kushida, Atsushi Kawasumi, Hiroyuki Hara, Keiko Abe, Naoharu Shimomura, Junichi Ito, Shinobu Fujita, Takashi Nakada, Hiroshi Nakamura
7.2 4Mb STT-MRAM-based cache with memory-access-aware power optimization and write-verify-write / read-modify-write scheme. ISSCC (2016)
Eishi Arima, Hiroki Noguchi, Takashi Nakada, Shinobu Miwa, Susumu Takeda, Shinobu Fujita, Hiroshi Nakamura
Immediate sleep: Reducing energy impact of peripheral circuits in STT-MRAM caches. ICCD (2015)
Hiroki Noguchi, Kumiko Nomura, Keiko Abe, Shinobu Fujita, Eishi Arima, Kyundong Kim, Takashi Nakada, Shinobu Miwa, Hiroshi Nakamura
D-MRAM cache: enhancing energy efficiency with 3T-1MTJ DRAM/MRAM hybrid memory. DATE (2013)