high performance computing on graphics processing units: hgpu.org

Sorting is a common problem in computer science. There are lot of well-known sorting algorithms created for sequential execution on a single processor. Recently, hardware platforms enable to create wide parallel algorithms. We have standard processors consist of multiple cores and hardware accelerators like GPU. The graphic cards with their parallel architecture give new possibility […]

All papers for the ICCTS 2014 will be published in the IJCEE (ISSN: 1793-8163) as one volume, and will be indexed by Ulrich’s Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, Crossref, ProQuest, DOAJ and EI (INSPEC, IET) and Electronic Journals Library. 2014-04-05 Algorithms Artificial Intelligence Automated Software Engineering Bio-informatics Biomedical Engineering Compilers […]

From Mobile to High-Performance Computing (HPC) systems, performance and energy efficiency are becoming always more challenging requirements. In this regard, heterogeneous systems, made by a general-purpose processor and one or more hardware accelerators, are emerging as affordable solutions. However, the effective exploitation of such platforms requires specific programming languages, like for instance OpenCL, and suitable […]

Quantum computing proposes quantum algorithms exponentially faster than their classical analogues when executed by a quantum computer. As quantum computers are currently unavailable for general use, one approach for analyzing the behavior and results of such algorithms is the simulation using classical computers. As this simulation is inefficient due to the exponential growth of the […]

The task of trading orders matching in financial markets is a very challenging task since due to the speed of arriving request. In this paper, the GPUs technology and CUDA programming is explored as a potential technology to accelerate this task. The trading method in Automatic Order Matching (AOM) of Stock Exchange of Thailand (SET) […]

OpenACC, a directive-based GPU programing standard, is emerging as a promising technology for massively-parallel accelerators, such as General-purpose computing on graphics processing units (GPGPU), Accelerated Processing Unit (APU) and Many Integrated Core Architecture (MIC). The heterogeneous nature of these accelerators call for careful designs of parallel algorithms and data management, which imposes a great hurdle […]

We present an efficient and scalable programming model for the development of linear algebra in heterogeneous multi-coprocessor environments. The model incorporates some of the current best design and implementation practices for the heterogeneous acceleration of dense linear algebra (DLA). Examples are given as the basis for solving linear systems’ algorithms – the LU, QR, and […]

Efficient implementations of parallel applications on heterogeneous hybrid architectures require a careful balance between computations and communications with accelerator devices. Even if most of the communication time can be overlapped by computations, it is essential to reduce the total volume of communicated data. The literature therefore abounds with ad-hoc methods to reach that balance, but […]

All papers of ICKD 2014 will be published in the International Journal of Computer Theory and Engineering (IJCTE)(ISSN: 1793-8201), and will be indexed by Electronic Journals Library, EBSCO, Engineering & Technology Digital Library, Google Scholar, INSPEC, Ulrich’s Periodicals Directory, Crossref, ProQuest, WorldCat, and EI (INSPEC, IET). 2014-04-05 T1. Novel Algorithms T2. Association Rules T3. Knowledge […]

All papers for the ICCCV 2014 will be published in the Journal of Image and Graphics (JOIG, ISSN: 2301-3699) as one volume, and will be indexed by Ulrich’s Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library and Electronic Journals Digital Library. 2014-04-01 Machine Vision, Image Processing, and Pattern Analysis Imaging Sensors Color and […]

In astrophysical N-body simulations, Dehnen’s algorithm, implemented in the serial falcON code and based on a dual tree traversal, is faster than serial Barnes-Hut tree-codes, but outperformed by parallel CPU and GPU tree-codes. In this paper, we present a parallel dual tree traversal, implemented in the pfalcON code, targeting multi-core CPUs and manycore architectures (Xeon […]

Face recognition is the biometric identification of human’s face and matching the image against a library of known faces. The algorithm used to simulate the above is Eigen faces algorithm. The software which is been proposed to implement is Open CL. Open CL (Open Computing Language) is an open standard for general purpose parallel programming […]