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 …

Single-issue processor cores are very energy efficient but suffer from the von Neumann
bottleneck, in that they must explicitly fetch and issue the loads/storse necessary to feed their …

High performance and, at the same time, energy efficiency are important yet often conflicting
requirements in many fields of emerging applications. Those applications range from multi …

The future of computation is massively parallel and heterogeneous with specialized
accelerator devices and instruction sets in both edge-and cluster-computing. However …

In this work, we present a computationally efficient Reinforcement Learning map** search
heuristic for finding high quality map**s for N-dimensional convolution loops that uses a …

An era of exponentially improving computing efficiency is coming to an end as Moore's law
falters and Dennard scaling seems to have broken down. The power-wall obstacle fuels a …

The breakdown of Dennard scaling [1, 2] in modern silicon manufacturing has prompted a
paradigm shift in the way we approach computer architecture design. For years industry and …

Whether we like it or not, flying robots are rapidly evolving, getting ever smaller. Pioneering
research groups have achieved fully-functional insect-scale unmanned aerial vehicles–ie …

To provide high computational capabilities, and, at the same time, minimize the power
consumption, modern Systems-on-Chip (SoCs) target very low energy consumption per …

As the democratization of global-scale web applications and cloud computing,
understanding the performance of a live production datacenter becomes a prerequisite for …