In contrast to the common belief that OpenMP requires data-parallel extensions to scale well on architectures with non-uniform memory access latency, recent work has shown that it ...
Software distributed shared memory (DSM) systems have successfully provided the illusion of shared memory on distributed memory machines. However, most software DSM systems use th...
Sandhya Dwarkadas, Robert Stets, Nikos Hardavellas...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Curry is a multi-paradigm declarative language covering functional, logic, and concurrent programming paradigms. Curry’s operational semantics is based on lazy reduction of expre...