Blockchain technology has been deemed to be an ideal choice for strengthening existing
computing systems in varied manners. As one of the network-enabled technologies, cloud …

The slowdown of Moore's law and the power wall necessitates a shift toward finely tunable
precision (aka transprecision) computing to reduce energy footprint. Hence, we need circuits …

The rapidly-changing deep learning landscape presents a unique opportunity for building
inference accelerators optimized for specific datacenter-scale workloads. We propose Full …

This paper investigates the role of the materiality of computation in two domains: blockchain
technologies and artificial intelligence (AI). Although historically designed as parallel …

Planet-scale applications are driving the exponential growth of the Cloud, and datacenter
specialization is the key enabler of this trend. GPU-and FPGA-based clouds have already …

The dot-product is one of the most frequently used operations for a wide variety of high-
performance computing (HPC) and artificial intelligence (AI) applications. However, for large …

The crisis of Moore's law and new dominant Machine Learning workloads require a
paradigm shift towards finely tunable-precision (aka transprecision) computing. More …

Data-driven networking is becoming more capable and widely researched, partly driven by
the efficacy of Deep Reinforcement Learning (DRL) algorithms. Yet the complexity of both …

Computers have become essential to everyday life as much as electricity, communications
and transport. That is evident from the amount of electricity we spend to power our …

Dennard scaling has come to an end. General-purpose architecture now can hardly have
major improvements in power efficiency. Therefore, recently researchers have been actively …