A scalable approach to performance analysis of MPI applications is presented that includes automated source code instrumentation, low overhead generation of profile and trace data...
Shirley Moore, Felix Wolf, Jack Dongarra, Sameer S...
In the last few years, we have been witnessing an evergrowing need for continuous observation and monitoring applications. This need is driven by recent technological advances that...
Themis Palpanas, Vana Kalogeraki, Dimitrios Gunopu...
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...