Parallel programming has proven to be an effective technique to improve the performance of computationally intensive applications. However, writing parallel programs is not easy, ...
Roberto Di Cosmo, Zheng Li, Susanna Pelagatti, Pie...
This paper presents how the DUP System, a straightforward POSIX-compatible framework that enables programminglanguage-agnostic parallel and distributed stream processing, can be u...
Nathan S. Evans, Chris GauthierDickey, Christian G...
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
Network measurement practitioners increasingly focus their interest on understanding and debugging home networks. The Universal Plug and Play (UPnP) technology holds promise as a h...
Lucas DiCioccio, Renata Teixeira, Martin May, Chri...
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...