high performance computing on graphics processing units: hgpu.org

This paper extended semi-global matching algorithm into multi baseline matching to improve matching reliability, especially studies kernel function optimization strategies and GPU threads’ executing scheme of matching cost cube computing and aggregating, and realized its fine granularity parallel processing based on GPU. The experiment results using three UCD aerial images based on Tesla C2050 GPU […]

GPU (Graphic processing system) enhance the performance of the performance of the computing field due to its hundreds of cores in parallel. CUDA (Compute Unified Device Architecture) and OpenCL (Open Computing Language) programming models are included in GPU. The advantage of these two programming models in GPU is that developers don’t have to understand any […]

Cross-validation is a commonly used method for evaluating the effectiveness of Support Vector Machines (SVMs). However, existing SVM cross-validation algorithms are not scalable to large datasets because they have to (i) hold the whole dataset in memory and/or (ii) perform a very large number of kernel value computation. In this paper, we propose a scheme […]

Scalability is an important concept in the domain of parallel computing. Since Graphics Processing Unit (GPU) clusters are and will be widely utilized in high performance computing platforms, we investigate the factors influencing the scalability for combinations of parallel algorithms (PA) and GPU clusters (GC).We present a scalability model for combination PA-GC and then validate […]

The vast majority of problems faced by bioinformatics are very complex and time consuming. They require the use of modern high-performance computational systems and the development of algorithms for such system. Heterogeneous computing systems which include graphics processing unit (GPU) occupy a separate niche. Such systems allow to accelerate solving of some task significantly. The […]

General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel computation platform, which is is particularly attractive for CFD tasks due to its potential of one or two magnitudes of performance improvement with relatively low capital investment. Many successful attempts have been reported in recent years (see, for example [1, 2, 3, 4, […]

We demonstrate the first implementation of recently-developed fast explicit kinetic integration algorithms on modern graphics processing unit (GPU) accelerators. Taking as a generic test case a Type Ia supernova explosion with an extremely stiff thermonuclear network having 150 isotopic species and 1604 reactions coupled to hydrodynamics using operator splitting, we demonstrate the capability to solve […]

We review the recent optimizations of gravitational N-body kernels for running them on graphics processing units (GPUs), on single hosts and massive parallel platforms. For each of the two main N-body techniques, direct summation and tree-codes, we discuss the optimization strategy, which is different for each algorithm. Because both the accuracy as well as the […]

This work is related with the implementation of a finite volume method to solve the 2D Shallow Water Equations on Graphic Processing Units (GPU). The strategy is fully oriented to work efficiently with unstructured meshes which are widely used in many fields of Engineering. Due to the design of the GPU cards, structured meshes are […]

Histogramming is a technique by which input datasets are mined to extract features and patterns. Histograms have wide range of uses in computer vision, machine learning, database processing, quality control for manufacturing, and many applications benefit from advance knowledge about the distribution of data. Computing a histogram is, essentially, the antithesis of parallel processing. Without […]

Clustering is a basic task in exploratory data analysis. It is used to partition elements of a set into disjoint groups, so-called clusters, such that elements within a group are similar to each other, but dissimilar to elements of other groups. Several clustering algorithms exist, which can be applied depending on the type of dataset […]

Ray tracing denotes a class of rendering algorithms that are well-known for their flexibility and their capability of generating highly realistic images of three dimensional models. However, due to the heavy computational requirements, it has traditionally been used for offline rendering. Improving the performance of ray tracing has been an active area of research and […]