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

The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …

The challenging deployment of compute-intensive applications from domains such as
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …

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

In current computing systems, many applications require guarantees on their maximum
power consumption to not exceed the available power budget. On the other hand, for some …

This paper shows that many applications exhibit execution-phase-specific sensitivity
towards approximation of the internal subcomputations. Therefore, approximation in certain …

As we approach the limits of Moore's law, researchers are exploring new paradigms for
future high-performance computing (HPC) systems. Approximate computing has gained …

This paper presents an overview of test and reliability approaches for approximate
computing architectures. We focus on how specific methods for test and reliability can be …

As computer system technology approaches the end of Moore's law, new computing
paradigms that improve performance become a necessity. One such paradigm is …