Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
interpretation. In the context of stream parallelism, this analysis identi es an amount of input data for which predicate execution can safely wait without danger of introducing de...
Moreno Falaschi, Patrick Hicks, William H. Winsbor...
We propose multi-language synchronization, a novel approach to the problem of migrating code from a legacy language (such as C) to a new language. We maintain two parallel versions...
We introduce a game model for an Algol-like programming language with primitives for parallel composition and synchronization on semaphores. The semantics is based on a simplifie...
Efficient communication and synchronization is crucial for finegrained parallelism. Libraries providing such features, while indispensable, are difficult to write, and often ca...