high performance computing on graphics processing units: hgpu.org

Invaluable benchmarking efforts have been made to measure the performance of eSTREAM portfolio stream ciphers and SHA-3 hash function candidates on multiple architectures. In this thesis we contribute to these efforts; we evaluate the performance of all eSTREAM ciphers and all second- round SHA-3 candidates on NVIDIA Graphics Processing Units (GPUs). Complementarily, we present the […]

Images are ubiquitous in biomedical applications from basic research to clinical practice. With the rapid increase in resolution, dimensionality of the images and the need for real-time performance in many applications, computational requirements demand proper exploitation of multicore architectures. Towards this, GPU-specific implementations of image analysis algorithms are particularly promising. In this paper, we investigate […]

A new paradigm for computing fluid flows is the use of Graphics Processing Units (GPU), which have recently become very powerful and convenient to use. In the past three years, we have implemented five different fluid flow algorithms on GPUs and have obtained significant speed-ups over a single CPU. Typically, it is possible to achieve […]

BACKGROUND: Smith-Waterman (S-W) algorithm is an optimal sequence alignment method for biological databases, but its computational complexity makes it too slow for practical purposes. Heuristics based approximate methods like FASTA and BLAST provide faster solutions but at the cost of reduced accuracy. Also, the expanding volume and varying lengths of sequences necessitate performance efficient restructuring […]

The rapid growth in the performance of graphics hardware, coupled with recent improvements in its programmability has lead to its adoption in many non-graphics applications, including a wide variety of scientific computing fields. At the same time, a number of important dynamic optimal policy problems in economics are athirst of computing power to help overcome […]

Pricing and risk analysis for today’s exotic structured equity products is computationally more and more demanding and time consuming. GPUs offer the possibility to significantly increase computing performance even at reduced costs. We applied this technology to replace a large amount of our CPU based computing grid by hybrid GPU/CPU pricing engines. One GPU based […]

OpenMP [14] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran due to its easy-to-use directive-based style, portability and broad support by compiler vendors. Compute-intensive application regions are increasingly being accelerated using devices such as GPUs and DSPs, and a programming model with similar characteristics is needed here. This paper presents […]

In this paper, we revisit the design of synchronization primitives—specifically barriers, mutexes, and semaphores—and how they apply to the GPU. Previous implementations are insufficient due to the discrepancies in hardware and programming model of the GPU and CPU. We create new implementations in CUDA and analyze the performance of spinning on the GPU, as well […]

It is widely known that GPUs have more computational power and expose a far greater level of parallelism than conventional CPUs. Despite their high potential, GPUs are not yet a popular choice in practice, mainly because of their high programming complexity. The complexity derives from two factors. First, the existing programming models are tied to […]

This paper presents an automated method for preparing digital X-rays for use by a procedural mesh generator. This process will facilitate the generation of a 3D polygon mesh depicting the bones contained within the X-ray image. The process of preparing the image involves identifying and retaining bone elements whilst removing any superfluous aspects contained within […]

This paper describes a software infrastructure made up of tools and libraries designed to assist developers in implementing computational dynamics applications running on heterogeneous and distributed computing environments. Together, these tools and libraries compose a so called Heterogeneous Computing Template (HCT). The underlying theme of the solution approach embraced by HCT is that of partitioning […]

This paper describes a software infrastructure made up of tools and libraries designed to assist developers in implementing computational dynamics applications running on heterogeneous and distributed computing environments. Together, these tools and libraries compose a so called Heterogeneous Computing Template (HCT). The heterogeneous and distributed computing hardware infrastructure is assumed herein to be made up […]