high performance computing on graphics processing units: hgpu.org

In this paper, we propose a runtime performance prediction model for automatic selection of accelerators to execute kernels in OpenCL. The proposed method is a history-based approach that uses profile data for performance prediction. The profile data are classified into some groups, from each of which its own performance model is derived. As the execution […]

We have been developing Hybrid OpenCL, which enables the utilization of OpenCL devices by connecting them over the network. Hybrid OpenCL opens a gate to scale up OpenCL environments. By using Hybrid OpenCL, applications written in OpenCL can be easily ported to high performance cluster computers, thus, Hybrid OpenCL can provide more various distributed and […]

This work describes a parallelizable optical flow field estimator based upon a modified batch version of the Self-Organizing Map (SOM). This estimator handles the ill-posedness in gradient-based motion estimation via a novel combination of regression and self-organization. The aperture problem is treated using an algebraic framework that partitions motion estimates obtained from regression into two […]

This work describes a parallelizable optical flow field estimator based upon a modified batch version of the Self-Organizing Map (SOM). This estimator handles the ill-posedness in gradient-based motion estimation via a novel combination of regression and self-organization. The aperture problem is treated using an algebraic framework that partitions motion estimates obtained from regression into two […]

The Cellular Potts Model (CPM) is a lattice based modeling technique used for simulating cellular structures in computational biology. The computational complexity of the model means that current serial implementations restrict the size of simulation to a level well below biological relevance. Parallelization on computing clusters enables scaling the size of the simulation but marginally […]

Significant performance gains can be achieved by using hardware architectures that integrate GPUs with conventional CPUs to form a hybrid and highly parallel computational engine. However, programming these novel architectures is tedious and error prone, reducing their ease of acceptance in an even wider range of computationally intensive applications. In this paper we discuss a […]

It is increasingly easy to develop software that exploits Graphics Processing Units (GPUs). The molecular dynamics simulation community has embraced this recent opportunity. Herein, we outline the current approaches that exploit this technology. In the context of biomolecular simulations, we discuss some of the algorithms that have been implemented and some of the aspects that […]

The study of magnetic phenomena in nanometer scale is essential for development of new technologies and materials. It also leads to a better understanding of magnetic properties of matter. An approach to the study of magnetic phenomena is the use of a physical model and its computational simulation. For this purpose, in previous works we […]

Open Computing Language (OpenCL) is an open royalty-free standard for general purpose parallel programming across Central Processing Units (CPUs), Graphic Processing Units (GPUs) and other processors. This paper introduces OpenCL to implement real-time smoking simulation in a virtual surgery training simulation system. Firstly, the Computational Fluid Dynamics (CFD) is adopted to construct the real-time smoking […]

OpenCL is an industry supported standard for writing programs that execute on multicore platforms as well as on accelerators, such as GPUs or the SPEs of the Cell B.E. In this paper we introduce GLOpenCL, a unified development framework which supports OpenCL on both homogeneous, shared memory, as well as on heterogeneous, distributed memory multicores. […]

We present a new domain-specific programming language suitable for extending both interactive and non-interactive ray tracing systems. This language, called ldquoray tracing shading languagerdquo (RTSL), builds on the GLSL language that is a part of the OpenGL specification and familiar to GPU programmers. This language allows a programmer to implement new cameras, primitives, textures, lights, […]

The Middlebury multi-view stereo evaluation clearly shows that the quality and speed of most multi-view stereo algorithms depends significantly on the number and selection of input images. In general, not all input images contribute equally to the quality of the output model, since several images may often contain similar and hence overly redundant visual information. […]