15 citations · 27 across the 5 of their papers we have counts for
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cs.DC2024★ 15 cited
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps
Eishi Arima, Minjoon Kang, Issa Saba +3
CPU-GPU heterogeneous systems are now commonly used in HPC (High-Performance Computing). However, improving the utilization and energy-efficiency of such systems is still one of th…
cs.DC2024★ 10 cited
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
Issa Saba, Eishi Arima, Dai Liu +1
CPU-GPU heterogeneous architectures are now commonly used in a wide variety of computing systems from mobile devices to supercomputers. Maximizing the throughput for multi-programm…