Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer
This paper describes the deployment and operational experience of a novel incentive-based
power-control strategy on the Fugaku supercomputer. Our incentive-based program, termed …
power-control strategy on the Fugaku supercomputer. Our incentive-based program, termed …
[HTML][HTML] A Multi-Dimensional Reverse Auction Mechanism for Volatile Federated Learning in the Mobile Edge Computing Systems
Y Hong, Z Zheng, Z Wang - Electronics, 2024 - mdpi.com
Federated learning (FL) can break the problem of data silos and allow multiple data owners
to collaboratively train shared machine learning models without disclosing local data in …
to collaboratively train shared machine learning models without disclosing local data in …
[图书][B] Algorithms and Architectures for Parallel Processing: 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings
The 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International
Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which …
Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which …
An Uncertainty-Aware Auction Mechanism for Federated Learning
J Xu, B Tang, H Cui, B Ye - … on Algorithms and Architectures for Parallel …, 2023 - Springer
Federated learning enables multiple data owners to collaboratively train a shared machine
learning model without the need to disclose their local training data. However, it is not …
learning model without the need to disclose their local training data. However, it is not …
Energy-efficient heterogeneous computing of parallel applications via power capping
High-performance computing (HPC) systems require significant energy to run their
operations. A typical HPC system contains various heterogeneous hardware components …
operations. A typical HPC system contains various heterogeneous hardware components …
Functional Extension in Python for Simulating Discrete Events in Queueing Networks
The concept of queueing is ubiquitous in everyday life, whether in supermarkets, banks or
amusement parks. The objective of studying queueing networks is to optimize models, either …
amusement parks. The objective of studying queueing networks is to optimize models, either …
Parallel application power and performance prediction modeling using simulation
High performance computing (HPC) system runs compute-intensive parallel applications
requiring large number of nodes. An HPC system consists of heterogeneous computer …
requiring large number of nodes. An HPC system consists of heterogeneous computer …
Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor
We present a study of the performance of the Weather Research and Forecasting [WRF]
code under several hardware configurations in an HPC environment. The WRF code is a …
code under several hardware configurations in an HPC environment. The WRF code is a …
Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor
J Carretero, R Mayo-Garcia - High Performance Computing: 8th …, 2022 - books.google.com
We present a study of the performance of the Weather Research and Forecasting [WRF]
code under several hardware configurations in an HPC environment. The WRF code is a …
code under several hardware configurations in an HPC environment. The WRF code is a …