Category: Health
GPU Acceleration of Functional Neuroimaging
GPUs accelerate functional neuroimaging, by using three GPUs, 850 TB of data can be analyzed in 10 days, compared to 100 years with conventional software!
Multiscale model of fibrin accumulation on the blood clot surface and platelet dynamics
A multiscale computational model of thrombus (blood clot) development is extended by incorporating a submodel describing formation of fibrin network through “fibrin elements” representing regions occupied by polymerized fibrin.
Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction
This work presents a hybrid approach that collaboratively combines the GPUs and CPUs available in a computer and applies it to the problem of tomographic reconstruction
High speed image space parallel processing for computer-generated integral imaging system
We propose an image space parallel processing method, which is implemented by using Open Computer Language (OpenCL) for rapid generation of the elemental images sets from large three-dimensional volume data
fMRI analysis on the GPU – Possibilities and challenges
We describe how to perform preprocessing and statistical analysis of fMRI data on the GPU. Non-parametric tests of fMRI data become practically feasible by using the GPU. GPUs are required to handle the future increase in spatial and temporal resolution. GPUs enable more advanced real-time analysis.
Fast GPU Based Adaptive Filtering of 4D Echocardiography
In this study multidimensional adaptive filtering of 4D echocardiography was performed using GPUs. Filtering was done using multiple kernels implemented in OpenCL working on multiple subsets of the data.
BGI Genomics Institute Pioneering a New Era of Affordable Personalized Medicine with GPUs
BGI, the world’s largest genomics institute, has slashed the time to analyze batches of DNA sequencing data from nearly four days to just six hours using a NVIDIA Tesla GPU-based server farm. The speed up is considered a critically important step in determining, in an affordable manner, the chemical building blocks that make up a DNA molecule.
Monte Carlo simulation of photon migration in a cloud computing environment with MapReduce
The purpose of this work is to report on our implementation of a simple MapReduce method for performing fault-tolerant Monte Carlo computations in a massively-parallel cloud computing environment.
Accelerating the simulation of brain tumor proliferation with many-core GPUs
In the paper, we present a numerical method for the simulation of brain tumors proliferation and we demonstrate the acceleration of this method in the context of a state of the art many-core GPU.
Multiscale feature-preserving smoothing of tomographic data
Computer tomography (CT) has wide application in medical imaging and reverse engineering. Due to the limited number of projections used in reconstructing the volume, the resulting 3D data is typically noisy. Contouring such data, for surface extraction, yields surfaces with localised artifacts of complex topology.
