HiRM: Hierarchical resource management for earth system models on many-core clusters

Z Xu, X Wei, JY Hao, J Li, H Li, Z Ding, S Li - CCF Transactions on High …, 2024 - Springer
Executing the resource-consuming parallel model, Earth System Models (ESMs), on the
many-core CPU clusters can effectively improve the performance due to the clusters' higher …

Coordinated process scheduling algorithms for coupled earth system models

X Wei, Z Xu, H Li, Z Ding - Concurrency and Computation …, 2021 - Wiley Online Library
It is becoming increasingly significant for humans to predict and understand future climate
changes using coupled climate system models. Although the performance and scalability of …

CPSA: a coordinated process scheduling algorithm for coupled earth system model

H Li, Z Xu, F Tang, X Wei, Z Ding - 2020 29th International …, 2020 - ieeexplore.ieee.org
Coupled climate system models are important tools for climatologists to predict and
understand future climate. These models are usually resource-consuming due to the large …

[引用][C] Performance Assessment of Data-driven Models in Arctic Sea Ice Prediction

R Pang - International Journal of Big Data Mining for Global …, 2024 - World Scientific
Data-driven models are emerging as a brand-new approach in Arctic sea ice prediction. In
this study, we perform the effectiveness comparison of different machine learning models in …

[引用][C] A note on tools and techniques for end-to-end QoS monitoring in Internet of Things

R Ranjan, E Solaiman, M Villari, P Watson - 2019 - dl.acm.org
A note on tools and techniques for end-to-end QoS monitoring in Internet of Things | Journal of
Parallel and Distributed Computing skip to main content ACM Digital Library home ACM home …