While predictions abound that electronic books will supplant traditional paper-based books, many people bemoan the coming loss of the book as cultural artifact. In this project we...
Maribeth Back, Jonathan Cohen, Rich Gold, Steve R....
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
We report on the aftermath of the discovery of a severe vulnerability in the Debian Linux version of OpenSSL. Systems affected by the bug generated predictable random numbers, mo...
Scott Yilek, Eric Rescorla, Hovav Shacham, Brandon...
The aIOLi project aims at optimizing the I/O accesses within the cluster by providing a simple POSIX API, thus avoiding the constraints to use a dedicated parallel I/O library. Th...
This paper discusses fast parallel algorithms for evaluating several centrality indices frequently used in complex network analysis. These algorithms have been optimized to exploi...