In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

Approximate computing trades off computation quality with effort expended, and as rising
performance demands confront plateauing resource budgets, approximate computing has …

In this paper we discuss several forms of spatiotemporal convolutions for video analysis and
study their effects on action recognition. Our motivation stems from the observation that 2D …

As one of the most promising energy-efficient computing paradigms, approximate computing
has gained a lot of research attention in the past few years. This paper presents a survey of …

Computing systems are conventionally designed to operate as accurately as possible.
However, this trend faces severe technology challenges, such as power consumption, circuit …

We propose and evaluate a framework for creating and running approximation-enabled
MapReduce programs. Specifically, we propose approximation mechanisms that fit naturally …

Approximate computing is an approach where reduced accuracy of results is traded off for
increased speed, throughput, or both. Loss of accuracy is not permissible in all computing …

As improvements in per-transistor speed and energy efficiency diminish, radical departures
from conventional approaches are becoming critical to improving the performance and …

Approximate computing explores opportunities that emerge when applications can tolerate
error or inexactness. These applications, which range from multimedia processing to …

Advanced computing systems have long been enablers for breakthroughs in artificial
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …