Due to the increasing size of integrated circuits (ICs), their design and optimization phases
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …

Artificial intelligence (AI) has been referred to as the “fourth paradigm of science,” and as
part of a coherent toolbox of data‐driven approaches, machine learning (ML) dramatically …

Resource management in data centres continues to be a critical problem due to increased
infrastructure complexity and dynamic workload conditions. Workload and energy …

Thermal management in the hyper-scale cloud data centers is a critical problem. Increased
host temperature creates hotspots which significantly increases cooling cost and affects …

Deep learning inference is increasingly run at the edge. As the programming and system
stack support becomes mature, it enables acceleration opportunities in a mobile system …

The optimal cooling control of data centers (DCs) relies on the thermal model to simulate
and accurately evaluate the temperature distribution of the computer room. Data-driven …

With electric power systems becoming more compact with higher power density, the
relevance of thermal stress and precise real-time-capable model-based thermal monitoring …

Computationally expensive temperature and power grid analyses are required during the
design cycle to guide IC design. This paper employs encoder-decoder based generative …

As energy-intensive infrastructures, data centers (DCs) have become a pressing challenge
for managers due to their significant energy consumption and carbon emissions. Information …

The traditional method of saving energy in Virtual Machine Placement (VMP) is based on
consolidating more virtual machines (VMs) in fewer servers and putting the rest in sleep …