This paper explores the environmental impact of the super-linear growth trends for AI from a
holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the …

With each new node, cost and complexity of logic technology increases while being
challenged to provide the historical expected improvement in performance. This paper …

Given the performance and efficiency optimizations realized by the computer systems and
architecture community over the last decades, the dominating source of computing's carbon …

The carbon footprint associated with large language models (LLMs) is a significant concern,
encompassing emissions from their training, inference, experimentation, and storage …

In upcoming years, the number of Internet-of-Things (IoT) devices is expected to surge up to
tens of billions of physical objects. However, while the IoT is often presented as a promising …

Given the ubiquity of electronic devices and the urgent need to decrease our footprint in the
context of global warming and planetary boundaries, it becomes critical to better quantify the …

Is TinyML Sustainable? Page 1 THE CONTINUED GROWTH of carbon emissions and global
waste presents a great concern for our environment, increasing calls for a more sustainable …

Due to concerns on resources depletion, climate change, and overall pollution, the quest
toward more sustainable processes is becoming crucial. Atomic layer deposition (ALD) is a …

Scalable Solid-State Drives (SSDs) have ushered in a transformative era in data storage
and accessibility, spanning both data centers and portable devices. However, the strides …

Decades of progress in energy-efficient and low-power design have successfully reduced
the operational carbon footprint in the semiconductor industry. However, this has led to …