high performance computing on graphics processing units: hgpu.org

We first present two GPU implementations of the standard Inverse Distance Weighting (IDW) interpolation algorithm, the tiled version that takes advantage of shared memory and the CDP version that is implemented using CUDA Dynamic Parallelism (CDP). Then we evaluate the power of GPU acceleration for IDW interpolation algorithm by comparing the performance of CPU implementation […]

Ray tracing is an important and widely used tool in computer graphic. Entertainment and game industry have already benefit a lot from ray tracing. However, designers and end-users are forced to use off-line ray tracing tools for a long time due to the high computation load. In ray tracing, most of the computation is concentrated […]

We implement an efficient energy-minimization algorithm for finite-difference micromagnetics that proofs especially usefull for the computation of hysteresis loops. Compared to results obtained by time integration of the Landau-Lifshitz-Gilbert equation, a speedup of up to two orders of magnitude is gained. The method is implemented in a finite-difference code running on CPUs as well as […]

The paper demonstrates the optimization of the execution environment of a hybrid OpenMP+MPI computational fluid dynamics code (shallow water equation solver) on a cluster enabled with Intel Xeon Phi coprocessors. The discussion includes: – Controlling the number and affinity of OpenMP threads to optimize access to memory bandwidth; – Tuning the inter-operation of OpenMP and […]

By coupling a common approach to vector graphics, OpenGL, high-fidelity solar-radiation pressure (SRP) effects are calculated easily and quickly with the power of graphics processing units (GPUs). For some missions SRP is a significant perturbation and a consideration wherein a simplified plate model does not suffice. OpenGL is a set of commands that interact with […]

In our work we choose several old and modern features of OpenGL that applications use to render scenes and compare their impact on the rendering speed. We aim our comparison not solely on these features, but also on the type of hardware used for the measurements. We run our tests on a professional graphics card […]

Due to growing demand for computer generated graphical content, procedural modeling has become an important topic in the gaming and movie industry. Creating vast amounts of content by hand requires excessive amounts of manual labor. Using a procedural rule set, entire worlds can be generated by a computer. However, the traditional CPU-based derivation of a […]

K-Means is the most popular clustering algorithm in data mining. The size of various data sets has increased tremendously day by day. Due to recent development in the shared memory inexpensive architecture like Graphics Processing Units (GPU). The general – purpose applications are implemented on GPU using Compute Unified Device Architecture (CUDA). Cost effectiveness of […]

The fundamental task required for any image or Video processing applications like video surveillance, medical imaging is Edge detection. Any of the filters available can be used to detect the edges. In this paper Sobel Edge filter is used for comparing the performance analysis on CPUs and GPUs and from this study it is found […]

The focus of this work is a simplified integration of algorithms expressed in Geometric Algebra (GA) into modern high level computer languages, namely C++, OpenCL and CUDA. A high runtime performance in terms of GA is achieved using symbolic simplification and code generation by a precompiler that is directly integrated into CMake-based build toolchains. Finally, […]

Today, we are continuously looking for more immersive video systems. Such systems, however, require more content, which can be costly to produce. A full panorama, covering regions of interest, can contain all the information required, but can be difficult to view in its entirety. In this thesis, we discuss a method for creating virtual views […]

It is being increasingly accepted that traditional statistical Single Nucleotide Polymorphism (SNP) analysis of Genome-Wide Association Studies (GWAS) reveals just a small part of the heritability in complex diseases. Study of SNPs interactions identify additional SNPs that contribute to disease but that do not reach genome-wide significance or exhibit only epistatic effects. We have introduced […]