Stochastic computing (SC) is a re-emerging technique to process probability data encoded
in digital bit-streams. Its main advantage is that arithmetic operations can be implemented by …

Stochastic computing (SC) performs arithmetic on randomized bit-streams called stochastic
numbers (SNs) using standard logic circuits. SC has many appealing features such as error …

Mobile sensing is an emerging technology that utilizes agent-participatory data for decision
making or state estimation, including multimedia applications. This article investigates the …

The success of the application of machine-learning techniques to compilation tasks can be
largely attributed to the recent development and advancement of program characterization, a …

Crowdsourcing utilizes the wisdom of crowds for collective classification via information (eg,
labels of an item) provided by labelers. Current crowdsourcing algorithms are mainly …

Redundant or unnecessary threads execution devastates parallel computing performance in
GPUs. To efficiently utilize processor resources in GPUs for rendering applications, various …

Thread divergence frequently occurs in various GPGPU applications while parallel threads
encounter branching, especially for multimedia algorithms involving high-level image …

Recent developments in the field of electronics have produced nano-scale devices whose
operation can only be described in probabilistic terms. In contrast with the conventional …

… Stochastic Logic Realization of Matrix Operations Pai-Shun Ting and John P. Hayes
Department of Electrical Engineering and Computer Science University of Michigan 2260 Hayward …

Stochastic computing (SC) is an unconventional computing approach that processes data
represented by pseudo-random bit-streams called stochastic numbers (SNs). It enables …