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 …

Approximate computing, where computation accuracy is traded off for better performance or
higher data throughput, is one solution that can help data processing keep pace with the …

Approximate computing can be employed for an emerging class of applications from various
domains such as multimedia, machine learning and computer vision. The approximated …

Approximate computing trades off accuracy of results for resources such as energy or
computing time. There is a large and rapidly growing literature on approximate computing …

Approximate computing trades off accuracy for better performance and energy efficiency. It
offers promising optimization opportunities for a wide variety of modern applications, from …

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

The accuracy of an approximate computation is the distance between the result that the
computation produces and the corresponding fully accurate result. The reliability of the …

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

Approximate computing leverages the intrinsic resilience of applications to inexactness in
their computations, to achieve a desirable trade-off between efficiency (performance or …

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 …