high performance computing on graphics processing units: hgpu.org

Image recognition and segmentation techniques are playing key role in the field of image processing. Present researchers are working on the design concepts of accurate image processing. This paper explains the method for designing of accurate image processing with the help of the principle called automatic construction of tree structural image transformation and graphics processing […]

In this paper, we propose a method based on the Weber number to uniformly model and simulate the foam and sprays generated by the fluid motion. We use the SPH to construct the fluid and calculate the Weber number of each particle. The fluid particles are divided into foam particles, transition particles and water particles […]

Emerging new technologies in plasma simulations allow tracking billions of particles while computing their radiative spectra. We present a visualization of the relativistic Kelvin-Helmholtz Instability from a simulation performed with the fully relativistic particle-in-cell code PIConGPU powered by 18,000 GPUs on the USA’s fastest supercomputer Titan [1].

We describe a GPU implementation of a hybrid symplectic N-body integrator, GENGA (Gravitational ENcounters with Gpu Acceleration), designed to integrate planet and planetesimal dynamics in the late stage of planet formation and stability analysis of planetary systems. GENGA is based on the integration scheme of the Mercury code (Chambers 1999), which handles close encounters with […]

Human face detection and recognition finds various application in domain like Surveillance, Law Enforcement, Interactive game application etc. These application requires fast image processing in real time however with the proposed work earlier does not gives that capability. In this paper we have proposed technique that process image for face detection and recognition in parallel […]

Using tiled small patches construct deep ocean surface, which greatly reduce the calculation, is a very common approach in ocean simulation. But it leads foams on surface to obviously repetitive artifacts. We proposed a dynamic threshold condition based on global coordinates that control and reduce the periodic repetition. Using FFT method generate a small patch […]

Multi-core architectures comprising several GPUs have become mainstream in the field of High-Performance Computing. However, obtaining the maximum performance of such heterogeneous machines is challenging as it requires to carefully offload computations and manage data movements between the different processing units. The most promising and successful approaches so far rely on task-based runtimes that abstract […]

The purpose of this project is to develop a computer model to investigate the formation and life cycle of classical novae. A nova is an orbiting system consisting of a white dwarf and star. Over time, the white dwarf pulls hydrogen gas from the star which gathers onto the surface of the white dwarf (the […]

High performance FMM is crucial for the numerical simulation of many physical problems. In a previous study, we have shown that task-based FMM provides the flexibility required to process a wide spectrum of particle distributions efficiently on multicore architectures. In this paper, we now show how such an approach can be extended to fully exploit […]

This paper addresses the problem that multiple DSP system doesn’t support OpenCL programming. With the compiler, runtime and the kernel scheduler proposed, an OpenCL application becomes portable not only between multiple CPU and GPU, but also between embedded multiple DSP systems. Firstly, the LLVM compiler was imported for source-to-source translation in which the translated source […]

We present a unified approach to unsupervised Bayesian learning of factor models for binary data with binary and spike-and-slab latent factors. We introduce a non-negative constraint in the spike-and-slab prior that eliminates the usual sign ambiguity present in factor models and lowers the generalization error on the datasets tested here. For the generative models we […]

Compute-intensive tasks in high-end high performance computing (HPC) systems often generate large amounts of data, especially floating-point data, that need to be transmitted over the network. Although computation speeds are very high, the overall performance of these applications is affected by the data transfer overhead. Moreover, as data sets are growing in size rapidly, bandwidth […]