high performance computing on graphics processing units: hgpu.org

In this paper, a room acoustics simulation using a finite difference approximation on a face-centered cubic (FCC) grid with finite volume impedance boundary conditions is presented. The finite difference scheme is accelerated on an Nvidia Tesla K20 graphics processing unit (GPU) using the CUDA programming language. A performance comparison is made between 27-point finite difference […]

Differential Evolution (DE) algorithms can be used in various fields for problem solving where we need to find an optimal (or close to optimal) solution but we don’t have a clear, straightforward method to compute it. Unfortunately it can take a very long time to produce such a solution when implemented serially or even parallel […]

Since the last decade, the concept of general purpose computing on graphics processors was introduced and has since garnered significant adaptation in the engineering industry. The use of a Graphics Processing Unit (GPU) as a many-core processing architecture for the purpose of general-purpose computation yields performance improvement of several orders-of magnitude. One example in leveraging […]

Computational demands of fluid flow simulations are high, with large computational resources required to perform the calculations and these applications have recently been accelerated with the help of GPU devices (Graphical Processing Units). Fluid flow simulation using discrete method called lattice Boltzmann (LB) has also been parallelized using GPU. In this paper a single-node multi-GPU […]

This paper presents a parallel Salt and Pepper (SP) noise removal algorithm in a grey level digital image based on the Hypergraph Based Root Mean Square (HGRMS) approach. HGRMS is generic algorithm for identifying noisy pixels in any digital image using a two level hierarchical serial approach. However, for SP noise removal, we reduce this […]

This thesis work analyses the obstacles faced when adapting the particle filtering algorithm to run on massively parallel compute architectures. Graphics processing units are one example of massively parallel compute architectures which allow for the developer to distribute computational load over hundreds or thousands of processor cores. This thesis studies an implementation written for NVIDIA […]

In the last 15 years, Video games have become a dominate form of entertainment. The popularity of video games means children are spending more of their free time play video games. Usually, the time spent on homework or studying is decreased to allow for the extended time spent on video games. In an effort to […]

We present an approach to investigate the memory behavior of a parallel kernel executing on thousands of threads simultaneously within the CUDA architecture. Our top-down approach allows for quickly identifying any significant differences between the execution of the many blocks and warps. As interesting warps are identified, we allow further investigation of memory behavior by […]

With progressive generations and the ever-increasing promise of computing power, GPGPUs have been quickly growing in size, and at the same time, energy consumption has become a major bottleneck for them. The first level data cache and the scratchpad memory are critical to the performance of a GPGPU, but they are extremely energy inefficient due […]

In this paper we present an abstract model for algorithm design on GPUs by extending the parallel external memory (PEM) model with computations in internal memory (commonly known as shared memory in GPU literature) defined in the presence of memory banks and bank conflicts. We also present a framework for designing bank conflict free algorithms […]

The 2014 Spring Simulation Multiconference will feature the 22nd High Performance Computing Symposium (HPC 2014), devoted to the impact of high performance computing and communications on computer simulations. Advances in multicore and many-core architectures, networking, high end computers, large data stores, and middleware capabilities are ushering in a new era of high performance parallel and […]

The GPU Programming for Molecular Modeling workshop will extend GPU programming techniques to the field of molecular modeling, including subjects such as particle-grid algorithms (electrostatics, molecular surfaces, density maps, and molecular orbitals), particle-particle algorithms with an emphasis on non-bonded force calculations, radial distribution functions in GPU histogramming, single-node multi-GPU algorithms, and GPU clusters. Specific examples […]