Word2vec is a widely used algorithm for extracting low-dimensional vector representations of words. State-of-the-art algorithms including those by Mikolov et al. [5, 6] have been parallelized for multi-core CPU architectures, but are based on vector-vector operations with “Hogwild" updates that are memory-bandwidth intensive and do not efficiently use computational resources. In this paper, we ...

We address the numerical solution of Lyapunov, algebraic and differential Riccati equations, via the matrix sign function, on platforms equipped with general-purpose multicore processors and, optionally, one or more graphics processing units (GPUs). In particular, we review the solvers for these equations, as well as the underlying methods, analyze their concurrency and scalability and provide ...

An accurate performance predictor to identify the most suitable core-architecture to execute each thread/workload in a heterogeneous many-core structure is proposed. The devised predictor is based on a linear regression model that considers several different parameters of the many-core processor architectures, including the cache size, issuewidth, re-order buffer size, load/store queues size, e...