OLAP queries are typically heavy-weight and ad-hoc thus requiring high storage capacity and processing power. In this paper, we address this problem using a database cluster which...
Alexandre A. B. Lima, Marta Mattoso, Patrick Valdu...
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...
Several message passing-based parallel solvers have been developed for general (non-symmetric) sparse LU factorization with partial pivoting. Due to the fine-grain synchronizatio...
Abstract. In this work an architecture of an automatically tuned linear algebra library proposed in previous works is extended in order to adapt it to platforms where both the CPU ...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...