high performance computing on graphics processing units: hgpu.org

The use of computer networks is drastically growing and the need for enhancing the existing network protocols and enforcing communication security thus is increasing. Tools like network simulators are used by researchers in order to test new scenarios and protocols in a controlled and reproducible environment. They allow the user to represent various topologies, simulate […]

GPU Computing utilizes high level language to run sequential part of the code on the CPU as well as speeds up parallel part via running it on GPUs but GPUs are SIMD by default which means they can run only single instruction on multiple data. The introduction of GEMTC framework [1] addresses these limitations by […]

Lagrangian particle-tracking models are a computationally intensive, but massively parallelizable method for investigating marine larval dispersal processes, seed dispersal of plants, or a variety of other material transport processes. In order to fully capture the distribution of potential dispersal patterns, highly efficient models with the capacity to simulate tens of millions or more particles are […]

Nonrigid image registration is an important, but time-consuming task in medical image analysis. In typical neuroimaging studies, multiple image registrations are performed, i.e. for atlas-based segmentation or template construction. Faster image registration routines would therefore be beneficial. In this paper we explore acceleration of the image registration package elastix by a combination of several techniques: […]

We propose a parallel ray-tracing technique to visualize signed distance fields generated from triangular meshes based on NVIDIA OptiX. Our method visualizes signed distance fields with various distance offset values at interactive rates (2-12 fps). Our method utilizes a parallel kd-tree implementation to query the nearest triangle and the sphere tracing method to visualize the […]

Motion blur and rolling shutter deformations both inhibit visual motion registration, whether it be due to a moving sensor or a moving target. Whilst both deformations exist simultaneously, no models have been proposed to handle them together. Furthermore, neither deformation has been considered previously in the context of monocular full-image 6 degrees of freedom registration […]

The analysis of complex nonlinear systems is often carried out using simpler piecewise linear representations of them. We propose a principled and practical technique to linearize and evaluate arbitrary continuous nonlinear functions using polygonal (continuous piecewise linear) models under the L1 norm. A thorough error analysis is developed to guide an optimal design of two […]

In this paper, we describe a novel technique to optimize longest common subsequence (LCS) algorithm for one-to-many matching problem on GPUs by transforming the computation into bit-wise operations and a post-processing step. The former can be highly optimized and achieves more than a trillion operations (cell updates) per second (CUPS)-a first for LCS algorithms. The […]

Ultra-High definition video streaming has been explored in recent years. Most recently the possibility of 4kUHD video streaming over wireless 802.11n was presented, using pre-encoded video. Live encoding for streaming using x264 has proven to be very slow. The use of parallel encoding has been explored to speed up the process using CUDA. However there […]

High data rate waveforms for software defined radios (SDR) have to cope with frequency selective fading due to the mobile use in different harsh transmission environments. The received signal needs to be equalized in order to restore the transmitted information. Turbo equalization is a promising approach to deal with the inter-symbol interference occurring at the […]

The paper addresses the problem of pose-invariant recognition of faces via an MRF matching model. Unlike previous costly matching approaches, the proposed algorithm employs effective techniques to reduce the MRF inference time. To this end, processing is done in a parallel fashion on a GPU employing a dual decomposition framework. The optimisation is further accelerated […]

The exponential growth of the world’s technological industry has an important impact on our lives; we are witnessing an expansion in computer power combined with a noticeable development of digital camera capabilities. To keep up with the requirements of the digitalized world, the focus has been set on the computer vision field. One of the […]