Posts
Dec, 8
Exploiting the Power of GPUs for Asymmetric Cryptography
Modern Graphics Processing Units (GPU) have reached a dimension with respect to performance and gate count exceeding conventional Central Processing Units (CPU) by far. Many modern computer systems include – beside a CPU – such a powerful GPU which runs idle most of the time and might be used as cheap and instantly available co-processor […]
Dec, 8
Pathological image segmentation for neuroblastoma using the GPU
We present a novel use of GPUs (graphics processing units) for the analysis of histopathological images of neuroblastoma, a childhood cancer. Thanks to the advent of modern microscopy scanners, whole-slide histopathological images can now be acquired but the computational costs to analyze these images using sophisticated image analysis algorithms are usually high. In this study, […]
Dec, 8
Fast and exact solution of Total Variation models on the GPU
This paper discusses fast and accurate methods to solve total variation (TV) models on the graphics processing unit (GPU). We review two prominent models incorporating TV regularization and present different algorithms to solve these models. We mainly concentrate on variational techniques, i.e. algorithms which aim at solving the Euler Lagrange equations associated with the variational […]
Dec, 8
SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit
Graphical processing units (GPUs) have been, lately used for general purpose tasks owing to their implicit parallel nature. One such task is that of pattern classification. Highly parallel tasks like these suffer from performance loss owing to the sequential nature of central processing unit (CPU). To match the image processing power of human brain even […]
Dec, 8
GPU based extraction of moving objects without shadows under intensity changes
This paper proposes a GPU based algorithm for extracting moving objects in real time. The whole process of the proposed approach is handled on GPU. GPU is used for acceleration and the proposed approach increases processing speed dramatically. The method uses a* component and b* component of CIELAB color space without extracting shadow areas as […]
Dec, 8
Overview of implementation of DARPA GPU program in SAIC
This paper reviews the implementation of DARPA MTO STAP-BOY program for both Phase I and II conducted at Science Applications International Corporation (SAIC). The STAP-BOY program conducts fast covariance factorization and tuning techniques for space-time adaptive process (STAP) Algorithm Implementation on Graphics Processor unit (GPU) Architectures for Embedded Systems. The first part of our presentation […]
Dec, 8
Fast Deformable Registration on the GPU: A CUDA Implementation of Demons
In the medical imaging field, we need fast deformable registration methods especially in intra-operative settings characterized by their time-critical applications. Image registration studies which are based on graphics processing units (GPUs) provide fast implementations. However, only a small number of these GPU-based studies concentrate on deformable registration. We implemented Demons, a widely used deformable image […]
Dec, 8
A survey of medical image registration on graphics hardware
The rapidly increasing performance of graphics processors, improving programming support and excellent performance-price ratio make graphics processing units (GPUs) a good option for a variety of computationally intensive tasks. Within this survey, we give an overview of GPU accelerated image registration. We address both, GPU experienced readers with an interest in accelerated image registration, as […]
Dec, 7
The 2011 International Conference on High Performance Computing & Simulation, HPCS 2011
The conference is to address, explore and exchange information on the state-of-the-art in high performance and large scale computing systems, their use in modeling and simulation and data intensive applications. We encourage papers with both an application or technology flavor (and their multidisciplinary integration). The scope covers architecture, performance, algorithms, middleware, and applications. Work on […]
Dec, 7
Performance evaluation of image processing algorithms on the GPU
The graphics processing unit (GPU), which originally was used exclusively for visualization purposes, has evolved into an extremely powerful co-processor. In the meanwhile, through the development of elaborate interfaces, the GPU can be used to process data and deal with computationally intensive applications. The speed-up factors attained compared to the central processing unit (CPU) are […]
Dec, 7
Fast support vector machine training and classification on graphics processors
Recent developments in programmable, highly parallel Graphics Processing Units (GPUs) have enabled high performance implementations of machine learning algorithms. We describe a solver for Support Vector Machine training running on a GPU, using the Sequential Minimal Optimization algorithm and an adaptive first and second order working set selection heuristic, which achieves speedups of 9-35x over […]
Dec, 7
Bandwidth intensive 3-D FFT kernel for GPUs using CUDA
Most GPU performance “hypes” have focused around tightly-coupled applications with small memory bandwidth requirements e.g., N-body, but GPUs are also commodity vector machines sporting substantial memory bandwidth; however, effective programming methodologies thereof have been poorly studied. Our new 3-D FFT kernel, written in NVIDIA CUDA, achieves nearly 80 GFLOPS on a top-end GPU, being more […]
