Tag: image processing
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!
Accelerating batch processing of spatial raster analysis using GPU
The scope of this paper is to present an efficient two-level caching strategy for raster data and an acceleration of selected raster operations using the GPU, which were implemented as a plugin for the open source software GRASS.
Processing piecewise autoregressive model image interpolation algorithm on GPU with CUDA
This paper presents a parallel implementation of piecewise autoregressive modeling image interpolation algorithm, using CUDA (Compute Unified Device Architecture) on GPU
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.
Improved tracking technique for visual measurements of ionic polymer–metal composites (IPMC) actuators using CUDA
The implementation of a real-time measurement system based on visual measurements of displacement of an actuator–cantilever is presented in this paper.
Achieving a single compute device image in OpenCL for multiple GPU
In this paper, we propose an OpenCL framework that combines multiple GPUs and treats them as a single compute device. Providing a single virtual compute device image to the user makes an OpenCL application written for a single GPU portable to the platform that has multiple GPU devices.
Volume visualization: A technical overview with a focus on medical applications
In this paper, we review volumetric image visualization pipelines, algorithms, and medical applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks of each algorithm in terms of image quality and efficiency.
Fast and efficient fully 3D positron emission tomography (PET) image reconstruction
Fast and efficient statistically based image reconstruction is highly demanded for state-of-art high-resolution PET scanners. The system matrix that defines the mapping from the image space to the data space is the key to high-resolution image reconstruction.
Bayesian real-time perception algorithms on GPU
In this text we present the real-time implementation of a Bayesian framework for robotic multisensory perception on a graphics processing unit (GPU) using the Compute Unified Device Architecture (CUDA).
Memory access optimization in recurrent image processing algorithms with CUDA
The present paper deals with the algorithms of image processing using CUDA technology. Memory optimizations are the most important area for performance of a CUDA application.
