Diminishing benefits from technology scaling have pushed designers to look for new
sources of computing efficiency. Multicores and heterogeneous accelerator-based …

We present a survey of approximate techniques and discuss concepts for building power-
/energy-efficient computing components reaching from approximate accelerators to …

Approximate computing has recently emerged as a paradigm for enabling energy efficient
software and hardware implementations by exploiting the inherent resiliency in applications …

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 …

Approximate computing is an emerging design paradigm that enables highly efficient
hardware and software implementations by exploiting the inherent resilience of applications …

Approximate computing is gaining traction as a computing paradigm for data analytics and
cognitive applications that aim to extract deep insight from vast quantities of data. In this …

Approximate computing is claimed to be a powerful knob for alleviating the peak power and
energy-efficiency issues. However, providing a consistent benchmark suit with diverse …

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

Computing systems at all scales (from mobile handheld devices to supercomputers, servers,
and large cloud-based data centers) have seen significant performance gains, mostly …

Approximate computing has been recognized as an effective low power technique for
applications with intrinsic error tolerance, such as image processing and machine learning …