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 …

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 …

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 …

Energy-efficient computing is a much needed technological advantage for future.
Approximate or inexact computing is a computing paradigm that can trade energy and …

Several applications may trade-off output quality for energy efficiency by computing only an
approximation of their output. Current approaches to software-based approximate …

Many video streaming applications require low-latency processing on resource-constrained
devices. To meet the latency and resource constraints, developers must often approximate …

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

The recent shift in the VLSI industry from conventional MOSFET to FinFET for designing
contemporary chip-multiprocessor (CMP) has noticeably improved hardware platforms' …

Distributed Systems have swiftly evolved from network of personal computers to cluster and
then to grid, moving on to the era of cloud computing and now the latest one as Internet of …