The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
"Neural Acceleration for General-Purpose Approximate Programs" demonstrates the significant advantages in cost, power, and latency through approximate computing.
This paper describes a new approach that uses machine learning-based transformations to accelerate approximation-tolerant programs.