Energy is increasingly a first-order concern in computer systems. Exploiting energy-accuracy
trade-offs is an attractive choice in applications that can tolerate inaccuracies. Recent work …

Energy-efficient computing is important in several systems ranging from embedded devices
to large scale data centers. Several application domains offer the opportunity to tradeoff …

The approximation based programming paradigm is especially attractive for developing
error-resilient applications, targeting low power embedded devices. It allows for program …

Energy efficiency is a primary constraint in modern systems. Approximate computing is a
promising approach that trades quality of result for gains in efficiency and performance …

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

Energy consumption limits battery life in mobile devices and increases costs for servers and
data centers. Approximate computing addresses energy concerns by allowing applications …

Energy efficiency is a key concern in the design of modern computer systems. One
promising approach to energy-efficient computation, approximate computing, trades off …

■ If critical temperature is reached◆ throttle the CPU (eg halt cycles, stop clock mechanism)
or◆ stop the processor execution■ But: neglect of application-, user-or service-specific …

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 …