PowerSpector: Towards Energy Efficiency with Calling-Context-Aware Profiling

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Neuropar, a neural network-driven EDP optimization strategy for parallel workloads

CA Kunas, FD Rossi, MC Luizelli… - 2023 IEEE 35th …, 2023 - ieeexplore.ieee.org
The pursuit of energy efficiency has been driving the development of techniques to optimize
hardware resource usage in high-performance computing (HPC) servers. On multicore …
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A neural network framework for optimizing parallel computing in cloud servers

EC de Lima, FD Rossi, MC Luizelli… - Journal of Systems …, 2024 - Elsevier
Energy efficiency has become a major focus in optimizing hardware resource usage for
Cloud servers. One approach widely employed to enhance the execution of parallel …
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An ANN-Guided Multi-Objective Framework for Power-Performance Balancing in HPC Systems

W Maas, PSS de Souza, MC Luizelli, FD Rossi… - Proceedings of the 21st …, 2024 - dl.acm.org
Power-performance efficiency has become one of the most critical issues in evolving High-
Performance Computing systems (HPC) towards Exaflops. Thread-level parallelism (TLP) …
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