Motivation General-purpose processors can now contain many dozens of processor cores
and support hundreds of simultaneous threads of execution. To make best use of these …

Task-based programming models for shared memory—such as Cilk Plus and OpenMP 3—
are well established and documented. However, with the increase in parallel, many-core …

Structured parallel programs ought to be conceived as two separate and complementary
entities: computation, which expresses the calculations in a procedural manner, and …

Harnessing the power of modern multi-GPU architectures, we present a massively parallel
simulation system based on the Material Point Method (MPM) for simulating physical …

Clustering is a common task in data analysis applications. Despite the extensive literature,
the continuously increasing volumes of data produced by sensors (eg, rates of several MB/s …

Handling the ever-increasing complexity of mesh generation codes along with the intricacies
of newer hardware often results in codes that are both difficult to comprehend and maintain …

In situ analysis and visualization have been proposed in high-performance computing
(HPC) to enable executing analysis tasks while a simulation is running, bypassing the …

Marine monitoring has diverse targets. How to complete the observation over marine targets
to the largest extent by reasonably and efficiently allocating various observation platform …

Sliding window convolutional networks (ConvNets) have become a popular approach to
computer vision problems such as image segmentation and object detection and …

Performance improvement of community detection is an NP problem in large social networks
analysis where by integrating the overlapped communities' information and modularity …