high performance computing on graphics processing units: hgpu.org

As the amount of data and the complexity of the processing rise, the demand for processing power in remote sensing applications is increasing. The processing speed is a critical aspect to enable a productive interaction between the human operator and the machine in order to achieve ever more complex tasks satisfactorily. Graphic processing units (GPU) […]

Three initial fits of 1ubi in a 6.6A resolution synthesized density map had backbone RMSDs to the correct placement of 2.7, 2.9 and 6.6A. They have been refined with a Powell optimizer [5] in 10 iterations using 6 directions, 3 rotations a, beta with 0.15 radians and gamma with 0.075 radians starting direction to cover […]

We present a framework, OpenCLosE, for dynamic resource management and scheduling of applications written in open compute language (OpenCL) for heterogeneous multimedia and graphics platforms, such as those found in multimedia smartphones and automotive infotainment clusters. We describe the design of a resource manager and master scheduler for the OpenCLosE environment, that allows efficient realization […]

Here, we present a GPU-accelerated OpenCL implementation of a back-propagation artificial neural network for the creation of QSAR models for drug discovery and virtual high-throughput screening. A QSAR model for HSD achieved an enrichment of 5.9 and area under the curve of 0.83 on an independent data set which signifies sufficient predictive ability for virtual […]

Google’s famous PageRank algorithm is widely used to determine the importance of web pages in search engines. Given the large number of web pages on the World Wide Web, efficient computation of PageRank becomes a challenging problem. We accelerated the power method for computing PageRank on AMD GPUs. The core component of the power method […]

Local Sequence alignment is an important task for bioinformatics. The most widely used algorithm is Smith-Waterman has a quadratic time complexity which is time consuming especially in large biological database search. Many attempts were made to accelerate Smith-Waterman using parallel architecture. In this paper a parallel implementation of Smith Waterman algorithm will be presented. This […]

Paper presents results obtained when porting FEM 2D linear elastostatic local stiffness matrix calculations to Tesla architecture with OpenCL framework. Comparison with native NVIDIA CUDA implementations has been provided.

The current trend towards multi-core/manycore and accelerated architectures presents challenges, both in portability, and also in the choices that developers must make on how to use the resources that these architectures provide. This paper explores some of the possibilities that are enabled by the Open Computing Language (OpenCL), and proposes a programming model that will […]

The idea of distributed computer emulation is presented within this paper. Since classic emulation techniques put the power load on the host CPU only, the new approach tries to distribute the load among other available processors within the host platform. The implementation uses OpenCL framework. This standard allows writing high parallel and portable programs in […]

This study aims to implement and test the NVIDIA’s and AMD’s early OpenCL compatibility implementation release on a back-projection step, the most time consuming part of an FBP reconstruction, and the Haralick’s texture feature extraction algorithm for CT images.

An implementation of the nonlinear iterative partial least squares algorithm (NIPALS) was used as a test case for use of OpenCL for computation on a general purpose graphics processing unit (GPGPU) cluster using MPI. Timing results are shown along with results of a model of time required per iteration for defined problem sizes. Various steps […]

In this article we present a study on an implementation, named clAES, of the symmetric key cryptography algorithm Advanced Encryption Standard (AES) using the Open Computing Language (OpenCL) emerging standard. We will show a comparison of the results obtained benchmarking clAES on various multi/many core architectures. We will also introduce the basic concepts of AES […]