high performance computing on graphics processing units: hgpu.org

Graphics processing units (GPUs) have become widely accepted as the computing platform of choice in many high performance computing domains. The availability of programming standards such as OpenCL are used to leverage the inherent parallelism offered by GPUs. Source code optimizations such as loop unrolling and tiling when targeted to heterogeneous applications have reported large […]

We present PixelPie, a highly parallel geometric formulation of the Poisson-disk sampling problem on the graphics pipeline. Traditionally, generating a distribution by throwing darts and removing conflicts has been viewed as an inherently sequential process. In this paper, we present an efficient Poisson-disk sampling algorithm that uses rasterization in a highly parallel manner. Our technique […]

In this paper, we propose a new sequence retrieval method that utilizes the parallel processing power of General-Purpose Computation on Graphics Processing Unit (GPGPU). GPGPU has high parallel computing power, due to its characteristic (SIMD) we need to carefully design a method to attain the parallel computing power. Existing CPU based sequence retrieval method does […]

This paper presents a novel algorithm capable of generating multiple next best views (NBVs), sorted by achievable information gain. Although being designed for waypoint generation in autonomous airborne mapping of outdoor environments, it works directly on raw point clouds and thus can be used with any sensor generating spatial occupancy information (e.g. LIDAR, kinect or […]

We developed a GPU-based real-time imaging software suite for medical ultrasound imaging to provide a fast real-time imaging platform for various probe geometries and imaging schemes. The imaging software receives raw RF data from a data acquisition system, and processes them on GPU to reconstruct real-time images. The most general-purpose imaging program in the suite […]

Guermond and Minev proposed a directional splitting algorithm to solve the incompressible Stokes equations. Their algorithm applies the alternating direction implicit method to the viscosity term. The pressure update uses a direction splitting method in order to enforce the incompressibility constraint, as opposed to commonly used projection methods that require the solution of a Poisson […]

We present a General-purpose computing on graphics processing units (GPGPU) based computational program and framework for the electronic dynamics of atomic systems under intense laser fields. We present our results using the case of hydrogen, however the code is trivially extensible to tackle problems within the single-active electron (SAE) approximation. Building on our previous work, […]

Multi-scale modeling plays an important role in understanding the structure and biological functionalities of large biomolecular complexes. In this paper, we present an efficient computational framework to construct multi-scale models from atomic resolution data in the Protein Data Bank (PDB), which is accelerated by multi-core CPU and programmable Graphics Processing Units (GPU). A multi-level summation […]

Current state of the art in information dissemination comprises of publishers broadcasting XML-coded documents, in turn selectively forwarded to interested subscribers. The deployment of XML at the heart of this setup greatly increases the expressive power of the profiles listed by subscribers, using the XPath language. On the other hand, with great expressive power comes […]

The study of thin structures is very common nowadays and useful in different fields. An important example is the analysis of sail dynamics. In this context, accurate simulations of the interaction between the sail and the wind are also required. However, this kind of fluid-structure interaction problems are very computationally expensive. First objective of this […]

Power and energy consumptions are also becoming important design criteria. Consequently, software designs have to consider the power/energy consumptions together with performance when they are developing software. In this paper, we explore a design space exploration with a commercial GPU: nVidia GTX 660 for investigating the best configuration of a kernel grid structure in a […]

Particle Swarm Optimisation (PSO) is a powerful algorithm for space search problems such as parametric optimisation. Particles with Levy flights have a long-tailed probability of outlier jumps in the problem space that provide a good compromise between local space exploration and local minima avoidance. Generating many particles and their trajectories with Levy random deviates is […]