Data races indicate serious concurrency bugs such as order, atomicity, and sequential consistency violations. Races are difficult to find and fix, often manifesting only in deploy...
Michael D. Bond, Katherine E. Coons, Kathryn S. Mc...
—Current trends in desktop processor design have been toward many-core solutions with increased parallelism. As the number of supported threads grows in these processors, it may ...
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...
Message passing using libraries implementing the Message Passing Interface (MPI) standard is the dominant communication mechanism in high performance computing (HPC) applications. ...
Robert Palmer, Michael Delisi, Ganesh Gopalakrishn...
It is now well established that the device scaling predicted by Moore’s Law is no longer a viable option for increasing the clock frequency of future uniprocessor systems at the...
Philippe Charles, Christian Grothoff, Vijay A. Sar...