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 …

At Facebook, machine learning provides a wide range of capabilities that drive many
aspects of user experience including ranking posts, content understanding, object detection …

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 …

Computation offloading has emerged as one of the promising approaches to address the
issues of restricted resources, leading to poor user experiences on smartphones in terms of …

Federated learning enables a cluster of decentralized mobile devices at the edge to
collaboratively train a shared machine learning model, while keeping all the raw training …

In this paper, we assess the past, present, and future of mobile CPU design. We study how
mobile CPU designs trends have impacted the end-user, hardware design, and the holistic …

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 recently released SPEC CPU2017 benchmark suite has already started receiving a lot
of attention from both industry and academic communities. However, due to the significantly …

To meet the performance and energy efficiency demands of emerging complex and variable
workloads, heterogeneous many-core architectures are increasingly being deployed …

Advances in emerging Information and Communications Technology (ICT) technologies
push the boundaries of what is possible and open up new markets for innovative ICT …