activity
20232026
most citedCloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AR2026

CUTh-Solver: GPU-Accelerated Sparse Matrix Solver for High-Resolution Thermal Simulation of 3D ICs

Chenghan Wang, Zhen Zhuang, Shui Jiang +9

Coarse-grained thermal simulation tends to underestimate localized thermal issues, potentially missing critical hotspots. Accurate analysis, therefore, demands fine-grained informa…

eess.SY2025

3D-ICE 4.0: Accurate and efficient thermal modeling for 2.5D/3D heterogeneous chiplet systems

Kai Zhu, Darong Huang, Luis Costero +1

The increasing power densities and intricate heat dissipation paths in advanced 2.5D/3D chiplet systems necessitate thermal modeling frameworks that deliver detailed thermal maps w…

cs.DC2025

CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload

Amirhossein Shahbazinia, Darong Huang, Luis Costero +1

Cloud platforms are increasingly relied upon to host diverse, resource-intensive workloads due to their scalability, flexibility, and cost-efficiency. In multi-tenant cloud environ…

eess.SY2025

A 20-Year Retrospective on Power and Thermal Modeling and Management

David Atienza, Kai Zhu, Darong Huang +1

As processor performance advances, increasing power densities and complex thermal behaviors threaten both energy efficiency and system reliability. This survey covers more than two…

cs.DC2023★ 2 cited

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

Darong Huang, Luis Costero, Ali Pahlevan +2

Computing servers have played a key role in developing and processing emerging compute-intensive applications in recent years. Consolidating multiple virtual machines (VMs) inside…