high performance computing on graphics processing units: hgpu.org

In this paper, we analyze a particular spatial locality case (called horizontal locality) inherent to manycore accelerator architectures employing barrel execution of SPMD kernels, such as GPUs. We then propose an adaptive memory access granularity framework to exploit and enforce the horizontal locality in order to reduce the interferences among accelerator cores memory accesses and […]

Graphics processor units (GPUs), such as the AMD FireStream series, offer a tremendous computing power that is frequently an order of magnitude larger than even the most modern multi-core CPUs, making them an attractive platform for high performance computing due to their relative cheapness compared with conventional PC clusters. General-purpose computing on GPUs (GPGPU) is […]

In order to be viable for use in communication and radar systems, wideband beamforming requires the calculation of filter coefficients to be performed quickly so as to avoid undesirable latency in the system. This paper provides a quick introduction to the method of least-squares wideband beamforming and discusses the use of General Purpose computation on […]

This paper presents an intuitive and practical craniofacial surgery simulation system, which is suitable for daily clinical practice. The key component of the system is a GPU accelerated lattice shape matching method, to estimate individual patient post-operative appearance interactively. The lattice model can be set up from individual CT data in an easy and robust […]

In this paper, we propose a GPU-friendly shape interpolation method. In contrast with state-of-the-art interpolation algorithms, our method computes the trajectory of each vertex independently instead of solving large linear systems in every interpolation step. Given two poses being interpolated, we find trajectory parameters for each vertex by optimization with the consideration of the key […]

Physics-based simulation is usually complex and time consuming, and consequently not suitable for real-time applications. In this paper, we propose the efficient dynamics models for the real-time simulation of soft fabrics interacting with water, including multi-soaking effect and underwater dynamics. The multi-soaking effect of soft fabrics is modeled based on the physics processes. Further, we […]

A main concern for any CO2 sequestration system is whether it may leak CO2 over a long-term time horizon. The outcome depends on the competition between sequestration and leakage processes. Leak- ages may occur from failure of manmade material or through faults in the formations above the reservoir. A simple and computationally efficient simulator was […]

The installation of the LOEWE-CSC (http://csc.uni-frankfurt.de/csc/?51) supercomputer at the Goethe University in Frankfurt lead to the development of a Linpack which can fully utilize the installed AMD Cypress GPUs. At its core, a fast DGEMM for combined GPU and CPU usage was created. The DGEMM library is tuned to hide all DMA transfer times and […]

Many applications in media production need information about moving objects in the scene, e.g. insertion of computer-generated objects, association of sound sources to these objects or visualization of object trajectories in broadcasting. We present a GPU accelerated approach for detecting and tracking salient features in image sequences and we propose an algorithm for clustering the […]

Functional radiosurgery is a noninvasive stereotactic technique that requires magnetic resonance image (MRI) sets with high spatial resolution. Gradient nonlinearities introduce geometric distortions that compromise the accuracy of MRI-based stereotactic localization. We present a gradient nonlinearity correction method based on a cubic phantom MRI data set. The approach utilizes a sum of spherical harmonics to […]

A modified adaptive noise cancelling (ANC) hybrid algorithm incorporating techniques of optimal wideband FIR filtering operation and the trimmed mean (TM)-levelization, a dynamic level-based thresholding process, is described in this paper for wideband active sonar echolocation system. This novel technique performs effective suppression of unwanted part of the training data thus localizing potentials of target […]

CUDA facilitates the development of General Purpose computing on Graphics Processing Units (GPGPU), however, its complex memory system, thread-level structure, and data transmission control between memories have brought great challenges for programming on GPU. In order to facilitate the development of parallel programs on GPU and reuse existing sequential codes, in this paper we propose […]