We are experiencing an explosive growth in the number of consumer devices, including
smartphones, tablets, web-based computers such as Chromebooks, and wearable devices …

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 …

DRAM has been the dominant technology for architecting main memory for decades. Recent
trends in multi-core system design and large-dataset applications have amplified the role of …

In portable computing systems like smartphones, energy is generally a key but limited
resource where application cores have been proven to consume a significant part of it. To …

Today's systems have diverse needs that are difficult to address using one-size-fits-all
commodity DRAM. Unfortunately, although system designers can theoretically adapt …

Mobile devices are becoming more powerful and versatile than ever, calling for better
embedded processors. Following the trend in desktop CPUs, microprocessor vendors are …

Interactive wearable devices bring dramatic changes to apps and hardware, leaving
operating system (OS) design in the mist. To this end, we thoroughly examine the execution …

Recent smart devices have adopted heterogeneous multi-core processors which have high-
performance big cores and low-power small cores. Unfortunately, the conventional task …

Improvements in main memory storage density are primarily driven by process technology
scaling, which negatively impacts reliability by exacerbating various circuit-level error …