In recent years, microprocessor manufacturers have shifted their focus from single-core to multi-core processors. To avoid burdening programmers with the responsibility of paralle...
Neil Vachharajani, Ram Rangan, Easwaran Raman, Mat...
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
Run-time parallelization is often the only way to execute the code in parallel when data dependence information is incomplete at compile time. This situation is common in many imp...
Dynamic module replacement — the ability to hot swap a component’s implementation at runtime — is fundamental to supporting evolutionary change in long-lived and highlyavail...
In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...