Traditional workload management methods mainly focus on the current system status while information about the interaction between queued and running transactions is largely ignore...
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Mi...
This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
More and more applications rely heavily on large amounts of data in the distributed storages collected over time or produced by large scale scientific experiments or simulations. ...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
In this work, we propose and investigate the idea of enhancing a System-on-Chip (SoC) communication architecture (the fabric that integrates system components and carries the comm...
Joel Coburn, Srivaths Ravi, Anand Raghunathan, Sri...