Segmentation of anatomical structures, from modalities like computed tomography (CT),
magnetic resonance imaging (MRI) and ultrasound, is a key enabling technology for medical …

Breadth-first search (BFS) is a core primitive for graph traversal and a basis for many higher-
level graph analysis algorithms. It is also representative of a class of parallel computations …

Graph cuts has become a powerful and popular optimization tool for energies defined over
an MRF and have found applications in image segmentation, stereo vision, image …

Breadth-First Search (BFS) is a core primitive for graph traversal and a basis for many higher-
level graph analysis algorithms. It is also representative of a class of parallel computations …

The Graphics Processing Units (GPUs) provide high computation power at a low cost and is
an important compute accelerator with a massively multithreaded architecture. In this paper …

The graphics processing unit (GPU) has evolved from being a fixed-function processor with
programmable stages into a programmable processor with many fixed-function components …

Visual exploration of volumetric datasets to discover the embedded features and spatial
structures is a challenging and tedious task. In this paper we present a semi-automatic …

Graphics processing units (GPUs) have become popular high-performance computing
platforms for a wide range of applications. The trend of processing graph structures on …

This book tries to address the following questions: How should the uncertainty and
incompleteness inherent to sensing the environment be represented and modelled in a way …

In this paper we propose a highly optimized parallel and distributed BFS on GPU for
Graph500 benchmark. We evaluate the performance of our implementation using …