high performance computing on graphics processing units: hgpu.org

The proposed paper will present details on recent advancements in scientific computing in terms of integrating new hardware and software to greatly enhance the computational efficiency of comprehensive rotorcraft analysis. The focus will be on showing the tremendous computational accelerations that are possible (i.e., orders of magnitude speed up) by using software developments in the […]

We present a fully multi-GPU-based double-precision solver for the three-dimensional two-phase incompressible Navier-Stokes equations. An in-depth performance analysis shows a realistic speed-up of the order of three by comparing equally priced GPUs and CPUs and more than a doubling in energy efficiency for GPUs. We observe profound strong and weak scaling on a multi-GPU cluster.

We perform hybrid Monte Carlo (HMC) simulatons of two flavors QCD with the optimal domain-wall fermion (ODWF) on the $ 16^3 times 32 $ lattice (with lattice spacing $ a sim 0.1 $ fm), for eight sea-quark masses corresponding to pion masses in the range 230-580 MeV. We calculate the mass and the decay constant […]

The Simplex algorithm is a well known method to solve linear programming (LP) problems. In this paper, we propose an implementation via CUDA of the Simplex method on a multi GPU architecture. Computational tests have been carried out on randomly generated instances for non-sparse LP problems. The tests show a maximum speedup of 24:5 with […]

We deal with the development of a computationally effective approach for the synthesis of equivalently tapered, aperiodic linear arrays, i.e. arrays matching the requirements on the power pattern by acting only on the element positions and excitation phases. The computational effectiveness of the algorithm is reached by the development of a parallel Non Uniform Fast […]

This paper presents an All-in-One video analytics system, a compact, multi-channel, real-time, video monitoring, event detection, alarm notification, event recording and browsing solution implemented on low cost hardware, taking advantage of NVIDIA’s GPU CUDA platform. An inventive distribution of video object detection and tracking processing chain between the GPUs and the CPU provides maximum efficiency […]

The Support Operator Method (SOM) is a numerical method based on finite difference method. The Support Operator Rupture Dynamics (SORD) is an application based on it. It can be used in simulation of 3D elastic wave propagation and spontaneous rupture on hexahedral mesh. It can be applied to various surface boundary conditions. The original application […]

This paper presents a GPU-based multiresolution shooting and bouncing ray (MSBR) method with the kd-tree acceleration structure for the fast radar cross section (RCS) prediction of electrically large and complex targets. The multiresolution grid algorithm can greatly reduce the total number of ray tubes, as it adaptively adjusts the density of ray tubes for regions […]

The Simplex algorithm is a well known method to solve linear programming (LP) problems. In this paper, we propose a parallel implementation of the Simplex on a CPU-GPU systems via CUDA. Double precision implementation is used in order to improve the quality of solutions. Computational tests have been carried out on randomly generated instances for […]

Voronoi diagram(VD) is a fundamental data structure in computational geometry. With the rapid development of programmable graphics programmable units, utilizing GPU to construct VD has been an optimal strategy. Considering the bridles of state-of-art algorithms, a seed flooding algorithm(SFA) is presented to achieve both robustness and high performance. The experimental results shows that SFA can […]

Numerical calculations with finite-difference time-domain (FDTD) on metallic nanostructures in a broad optical spectrum require an accurate approximation of the permittivity of dispersive materials. Here, we present the algorithms behind B-CALM (Belgium-California Light Machine), an open-source 3D-FDTD solver operating on Graphical Processing Units (GPU’s) with multi-pole dispersion models. Our modified architecture shows a reduction in […]

Tissue Doppler imaging is a routinely used diagnostic tool for assessing myocardial function in real time. The required signal processing is computationally intensive, including modified auto-correlation, scan conversion, image mapping. Parallel algorithms and implementations based on GPU platform are proposed in this paper to increase the computation efficiency. The experimental signal data is acquired from […]