A Framework for GPU-accelerated Virtual Cardiac Intervention

GPU Accelerated Cardiac Electrophysiology

2010 iii DEDICATION To Christina, whose love and support made this possible. iv EPIGRAPH In a few minutes a computer can make a mistake so great that it would have taken many men many months to equal it. –Anonymous With the GPU, this may be possible in just a few seconds. –Fred

GPU Accelerated framework for financial nested simulations

Towards a GPU accelerated spatial computing framework

Ease of availability of spatial data has increased the interest in the domain of spatial computing. Various services such as Uber, Google maps, and Blue Brain Project have been developed that consume and process such spatial data. Spatial data processing is not only data intensive but also compute intensive. A lot of efforts have been made by the spatial computing community to tackle the proble...

GPU-accelerated Polyp Detection in Virtual Colonoscopy

Nowadays, Virtual Colonoscopy (VC) is an important non-invasive alternative for the study of the colon. Substantial research efforts have been dedicated to this method, and one of the major challenges has always been producing accurate results in a short period of time. One of the most crucial phases of VC is the detection of polyp candidates, where possible lesions on the colon walls are autom...

A GPU- Accelerated Framework for Image Processing and Computer Vision

This paper presents and briefly describes the state of the art of accelerating image processing with graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an open source multiplatform library for GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. GpuCV is des...