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

Approximate computing has gained research attention recently as a way to increase energy
efficiency and/or performance by exploiting some applications' intrinsic error resiliency …

The cost of moving and storing data is still a fundamental concern for computer architects.
Inefficient handling of data can be attributed to conventional architectures being oblivious to …

This work is a survey on approximate computing and its impact on fault tolerance, especially
for safety-critical applications. It presents a multitude of approximation methodologies, which …

Approximate computing is the idea that systems can gain performance and energy efficiency
if they expend less effort on producing a “perfect” answer. Approximate computing …

Despite continuing research into inter-GPU communication mechanisms, extracting
performance from multi-GPU systems remains a significant challenge. Inter-GPU …

Approximate computing is an emerging paradigm enabling tradeoffs between accuracy and
efficiency. However, a fundamental challenge persists: state-of-the-art techniques lack the …

Approximate computing (AC) represents a paradigm shift from conventional precise
processing to inexact computation but still satisfying the system requirement on accuracy …

We present the concept of approximate intermittent computing and concretely demonstrate
its application. Intermittent computations stem from the erratic energy patterns caused by …

Hardware specialization is commonly used in datacenters to ameliorate the nearing end of
CMOS technology scaling. While offering superior performance and energy-efficiency …