high performance computing on graphics processing units: hgpu.org

Advances in computational power are enabling high-precision numerical simulations of unsteady flows using unstructured grids. The dynamic ray casting technique with the aid of texture hardware can achieve high-accuracy volume rendering of unstructured time-varying data from these simulations. However, the existing approach does not pay enough attention to temporal coherence, which depresses the rendering rate. […]

This report presents a novel approach, termed gHull, to compute the convex hull for a given point set in R3 using the graphics processing units (GPUs). While the 2D problem can easily and efficiently be solved in the GPU, there is no known obvious, classical parallel solution that works well in the GPU for the […]

We construct surfaces with darts, creases, and corners by blending different types of local geometries. We also render these surfaces efficiently using programmable graphics hardware. Points on the blending surface are evaluated using simplified computation which can easily be performed on a graphics processing unit. Results show an eighteen-fold to twenty-fold increase in rendering speed […]

We have investigated the use of the graphical processing unit to accelerate the software package DarkSUSY. DarkSUSY is, among other things, used for calculating the dark matter relic density — an measurable quantity — given the supersymmetric neutralino, tilde{Chi}, as a dark matter candidate. Supersymmetric theories have many free parameters and we want to calculate […]

X-ray microtomography can visualize 3D structures of biological soft tissues at cellular to subcellular resolution. Such 3D structures are composed of a great number of cells and extracellular matrices that should be assigned separately as tissue constituents. Here, we report a method for building a skeletonized model of the human brain network in a 3D […]

A method of generating Deep Shadow Maps from a 3D data set is presented. This method uses ray tracing on the GPU to accumulate opacity and store them in a deep shadow map. The deep shadow map is then sampled based on view direction to determine how much light got to a particular fragment. The […]

Super-scalar, out-of-order processors that can have tens of read and write requests in the execution window place significant demands on Memory Level Parallelism (MLP). Multi- and many-cores with shared parallel caches further increase MLP demand. Current cache hierarchies however have been unable to keep up with this trend, with modern designs allowing only 4-16 concurrent […]

Particle-in-cell (PIC) is a simulation technique for plasma physics. The large number of particles in highresolution plasma simulation increases the volume computation required, making it vital to increase computation speed. In this study, we attempt to accelerate computation speed on graphics processing units (GPUs) using KEMPO, a PIC simulation code package [H. Matsumoto and Y. […]

We fundamentally reconsider implementation of the Fast Multipole Method (FMM) on a computing node with a heterogeneous CPU-GPU architecture with multicore CPU(s) and one or more GPU accelerators, as well as on an interconnected cluster of such nodes. The FMM is a divide-and-conquer algorithm that performs a fast N-body sum using a spatial decomposition and […]

Magnetic Resonance Imaging (MRI) is a non-invasive and highly exible medical imaging modality that does not expose patients ionizing radiation. MR Image acquisitions can be designed by varying a large number of contrast-generation parameters, and many clinical diagnostic applications exist. However, imaging speed is a fundamental limitation to many potential applications. Traditionally, MRI data have […]

This paper discusses the experimental results of our visualization model for data extracted from sensors. The objective of this paper is to find a computationally efficient method to produce a real time rendering visualization for a large amount of data. We develop visualization method to monitor temperature variance of a data center. Sensors are placed […]

This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chain maps concurrent programs onto emerging hardware architectures, where costs are expressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysis techniques to give overall cost […]