With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …

High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

GPU accelerators have become essential to the recent advance in computational power of
high-performance computing (HPC) systems. Current HPC systems' reaching an …

As research and deployment of AI grows, the computational burden to support and sustain
its progress inevitably does too. To train or fine-tune state-of-the-art models in NLP …

In the article we propose an automatic power capping software tool DEPO that allows one to
perform runtime optimization of performance and energy related metrics. For an assumed …

The rapid adoption of artificial intelligence (AI) and machine learning (ML) has generated
growing interest in understanding their environmental impact and the challenges associated …

In the article, we have proposed a framework that allows programming a parallel application
for a multi‐node system, with one or more graphical processing units (GPUs) per node …

Abstract Intelligence Processing Units (IPU) have proven useful for many AI applications. In
this paper, we evaluate them within the emerging field of AI for simulation, where traditional …

Recent research in Future Wireless Networks (FWN) s have primarily focused on improving
spectral and energy efficiency, emphasizing less on reducing power consumption. Studies …

The Open Radio Access Network (O-RAN) is a burgeoning market with projected growth in
the upcoming years. RAN has the highest CAPEX impact on the network and, most …