In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
The Converse run-time framework was designed with dual objectives: that of supporting quick development of portable run-time systems for new parallel programming paradigms, and tha...
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...
The emergence of applications domains such as pervasive and autonomic computing has increased the need for customisation and dynamic adaptation of both distributed systems, and th...
Paul Grace, Eddy Truyen, Bert Lagaisse, Wouter Joo...
Abstract. We present PerfMiner, a system for the transparent collection, storage and presentation of thread-level hardware performance data across an entire cluster. Every sub-proc...
Philip Mucci, Daniel Ahlin, Johan Danielsson, Per ...