Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of efficient outlier detection techniques while taking into consideration …

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Irregular and dynamic parallel applications pose significant challenges to achieving
scalable performance on large-scale multicore clusters. These applications often require …

The fifth edition delivers up-to-date coverage of every conceivable aspect in modern-day
management of contact dermatitis. Leading experts have thoroughly updated the previous …

We consider two-dimensional partitioning of general sparse matrices for parallel sparse
matrix-vector multiply operation. We present three hypergraph-partitioning-based methods …

In parallel adaptive applications, the computational structure of the applications changes
over time, leading to load imbalances even though the initial load distributions were …

Particle tracing for streamline and path line generation is a common method of visualizing
vector fields in scientific data, but it is difficult to parallelize efficiently because of demanding …

Large parallel machines with hundreds of thousands of processors are becoming more
prevalent. Ensuring good load balance is critical for scaling certain classes of parallel …

Scalable and efficient numerical simulations continue to gain importance, as computation is
firmly established as the third pillar of discovery, alongside theory and experiment …

For many applications, computation load varies over time. Such applications require
dynamic load balancing to improve performance. Centralized load balancing schemes …