With the increasing availability of high-resolution isotropic three-or four-dimensional medical
datasets from sources such as magnetic resonance imaging, computed tomography, and …

The rapid increase in the performance of graphics hardware, coupled with recent
improvements in its programmability, have made graphics hardware a compelling platform …

This paper presents a detailed description of the Open Computing Language (OpenCL)
framework. Provides an overview of OpenCL; explains its architecture; and reports on …

Large graphs involving millions of vertices are common in many practical applications and
are challenging to process. Practical-time implementations using high-end computers are …

We present two novel parallel algorithms for rapidly constructing bounding volume
hierarchies on manycore GPUs. The first uses a linear ordering derived from spatial Morton …

The scan primitives are powerful, general-purpose data-parallel primitives that are building
blocks for a broad range of applications. We describe GPU implementations of these …

We propose a new approach to efficiently render large volumetric data sets. The system
achieves interactive to real-time rendering performance for several billion voxels. Our …

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 …

We demonstrate an efficient data-parallel algorithm for building large hash tables of millions
of elements in real-time. We consider two parallel algorithms for the construction: a classical …

We explore using hashing to pack sparse data into a compact table while retaining efficient
random access. Specifically, we design a perfect multidimensional hash function--one that is …