high performance computing on graphics processing units: hgpu.org

This paper presents an approach for cloth-body collision detection in computer graphics simulations of clothing. It is an object-space based algorithm implemented in OpenCL on the GPU. The underlying idea behind this work is to speed up the solution of the collision detection problem by utilizing the excessive computational capacity of contemporary GPUs. Results of […]

Recent developments in genomic and molecular technologies produced a tremendous amount of information related to molecular biology. The management and analysis of these biological data require intensive computing power. Sequence aligning is one of the algorithmic tools in bioinformatics to look for resemblance among sequences of amino acids. The longest common subsequence (LCS) of biological […]

FPGA densities have continued to follow Moore’s law and can now support a complete multiprocessor system on programmable chip. The benefits of the FPGA include the ability to build a customized MPSoC system consisting of heterogeneous processing resources, interconnects and memory hierarchies that best match the requirements of each application. In this paper we outline […]

Asynchronous memory operations provide a means for coping with the memory wall problem in multicore processors, and are available in many platforms and languages, e.g., the Cell Broadband Engine, CUDA and OpenCL. Reasoning about the correct usage of such operations involves complex analysis of memory accesses to check for races. We present a method and […]

A synthetic aperture ultrasound beamformer is implemented for a GPU using the OpenCL framework. The implementation supports beamformation of either RF signals or complex baseband signals. Transmit and receive apodization can be either parametric or dynamic using a fixed F-number, a reference, and a direction. Images can be formed using an arbitrary number of emissions […]

This work considers the acceleration of matrix-based computational electromagnetic (CEM) techniques using graphics processing units (GPUs). These massively parallel processors have gained much support since late 2006, with software tools such as CUDA and OpenCL greatly simplifying the process of harnessing the computational power of these devices. As with any advances in computation, the use […]

Given that CPU clock speeds are stagnating, programmers are resorting to parallelism to improve the performance of their applications. Although such parallelism has usually been attained using either multicore architectures, multiple CPUs and/or clusters of machines, the GPU has since been used as an alternative. GPUs are an interesting resource because they can provide much […]

Text matching with errors is a regular task in computational biology. We present an extension of the bit-parallel Wu-Manber algorithm to combine several searches for a pattern into a collection of fixed-length words. We further present an OpenCL parallelization of a redundant index on massively parallel multicore processors, within a framework of searching for similarities […]

The Special Session on GPU Computing and Hybrid Computing aims at providing a forum for scientific researchers and engineers on hot topics related to GPU computing and hybrid computing with special emphasis on applications, performance analysis, programming models and mechanisms for mapping codes. Topics: GPU computing, multi GPU processing, hybrid computing; Programming models, programming frameworks, […]

In this thesis, we discuss the development of a new Boids system that simulates flocking behavior inside the Blender Game Engine and within the framework of the Real-Time Particles System (RTPS) library developed by Ian Johnson. The collective behavior of Boids is characterized as an emergent behavior caused by following three steering behaviors: separation, alignment, […]

Field programmable gate arrays (FPGAs) have the potential to accelerate scientific computing applications due to their highly parallel architecture. However, for programming these architectures efficiently, hardware description languages (HDL), such as Verilog or VHDL, have to be used. Many application developers are not familiar with these HDL languages, because they traditionally develop their applications using […]

Heterogeneous architectures become dominant in high-performance computing platforms but programming them remains really hard, especially because high-performance programs are usually written using low-level languages (C, Fortran, OpenMP…) and frameworks (CUDA, OpenCL…). Mid-level frameworks have been introduced to automatically perform management of distributed memory and scheduling on different devices, allowing applications to only submit tasks and […]