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

When a computational task tolerates a relaxation of its specification or when an algorithm
tolerates the effects of noise in its execution, hardware, system software, and programming …

Low power is an imperative requirement for portable multimedia devices employing various
signal processing algorithms and architectures. In most multimedia applications, human …

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

This paper describes a learning-based approach to the acceleration of approximate
programs. We describe the Parrot transformation, a program transformation that selects and …

Certain classes of applications are inherently capable of absorbing some error in
computation, which allows for quality to be traded off for power. Such a tradeoff is often …

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

Low-power is an imperative requirement for portable multimedia devices employing various
signal processing algorithms and architectures. In most multimedia applications, the final …

As technology scales, variability in transistor performance continues to increase, making
transistors less and less reliable. This creates several challenges in building reliable …

Disciplined approximate programming lets programmers declare which parts of a program
can be computed approximately and consequently at a lower energy cost. The compiler …