collaborators

5 papers

cs.AR2026

CXLRAMSim v1.0: System-Level Exploration of CXL Memory Expander Cards

Karan Pathak, David Atienza, Marina Zapater

The growing demands in the training and inference of Large Language Models (LLMs) are accelerating the adoption of scale-up systems that extend server shared memory through the use…

cs.DC2026

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

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.PF2025

GreenLLM: SLO-Aware Dynamic Frequency Scaling for Energy-Efficient LLM Serving

Qunyou Liu, Darong Huang, Marina Zapater +1

Large Language Models (LLMs) are becoming the backbone of modern cloud services, yet their inference costs are dominated by GPU energy. Unlike traditional GPU workloads, LLM infere…

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…