In this paper we present an approach for quantitative analysis of application-specific dataflow architectures. The approach allows the designer to rate design alternatives in a qu...
Bart Kienhuis, Ed F. Deprettere, Kees A. Vissers, ...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time ser...
Telehealth innovations promise to provide extensive medical benefits by increasing access to healthcare services and lowering costs at the same time. However, while many telehealt...
This research uses functional data modelling to study the price formation process of online auctions. It conceptualizes the price curve and its first and second derivatives (veloc...