Designing applications with timeliness requirements in environments of uncertain synchrony is known to be a difficult problem. In this paper, we follow the perspective of timing ...
Distributed Shared Memory (DSM) systems provide a logically shared memory over physically distributed memory to enable parallel computation on Networks of Workstations (NOWs). In ...
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Many sensor nodes contain resource constrained microcontrollers where user level applications, operating system components, and device drivers share a single address space with no...
In this paper we present a scalable dataflow hard- ware architecture optimized for the computation of general- purpose vision algorithms—neuFlow—and a dataflow compiler—luaFl...
C. Farabet, B. Martini, B. Corda, P. Akselrod, E. ...