Cloud computing is a commercial and economic paradigm that has gained traction since
2006 and is presently the most significant technology in IT sector. From the notion of cloud …

Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

Recent advances in artificial intelligence have driven increasing intelligent applications at
the network edge, such as smart home, smart factory, and smart city. To deploy …

Deep convolutional neural networks (CNNs) are widely used in modern AI systems for their
superior accuracy but at the cost of high computational complexity. The complexity comes …

This book provides a structured treatment of the key principles and techniques for enabling
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …

Historically, server designers have opted for simple memory systems by picking one of a few
commoditized DDR memory products. We are already witnessing a major upheaval in the off …

Our challenge is clear: The drive for performance and the end of voltage scaling have made
power, and not the number of transistors, the principal factor limiting further improvements in …

This paper presents a programmable and scalable digital neuromorphic architecture based
on 3D high-density memory integrated with logic tier for efficient neural computing. The …

User-facing, latency-sensitive services, such as websearch, underutilize their computing
resources during daily periods of low traffic. Reusing those resources for other tasks is rarely …

With the increasing prevalence of warehouse-scale (WSC) and cloud computing,
understanding the interactions of server applications with the underlying microarchitecture …