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 rapid growth in demand for HPC systems has led to a rise in carbon footprint, which
requires urgent intervention. In this work, we present a comprehensive analysis of the …

Computing systems have undergone a tremendous change in the last few decades with
several inflexion points. While Moore's law guided the semiconductor industry to cram more …

Processing-in-memory (PIM) has been explored for decades by computer architects, yet it
has never seen the light of day in real-world products due to its high design overheads and …

The increasing carbon emissions from cloud computing requires new methods to reduce its
environmental impact. We explore extending data center server lifetimes to reduce …

For many decades, progress in computing hardware has been closely associated with
CMOS logic density, performance, and cost. As such, slowdown in 2-D scaling, frequency …

We propose overcoming the memory capacity limitation of GPUs with high-capacity Storage-
Class Memory (SCM) and DRAM cache. By significantly increasing the memory capacity …

By adding exiting layers to the deep learning networks, early exit can terminate the inference
earlier with accurate results. However, the passive decision-making of whether to exit or …

This review explores the intersection of bio-plausible artificial intelligence in the form of
spiking neural networks (SNNs) with the analog in-memory computing (IMC) domain …

Graphics Processing Units (GPUs) are widely-used accelerators for data-parallel
applications. In many GPU applications, GPU memory bandwidth bottlenecks performance …