The power-efficient massively parallel Graphics Processing Units (GPUs) have become increasingly influential for scientific computing over the past few years. However, their ef...
Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Kai Tian, ...
Collaborative visual analysis tools can enhance sensemaking by facilitating social interpretation and parallelization of effort. These systems enable distributed exploration and e...
Wesley Willett, Jeffrey Heer, Joseph M. Hellerstei...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Strassen’s matrix multiplication (MM) has benefits with respect to any (highly tuned) implementations of MM because Strassen’s reduces the total number of operations. Strasse...
Microprocessor design is undergoing a major paradigm shift towards multi-core designs, in anticipation that future performance gains will come from exploiting threadlevel parallel...
Richard A. Hankins, Gautham N. Chinya, Jamison D. ...