high performance computing on graphics processing units: hgpu.org

GPU (General-Purpose computation on Graphics Processing Units) offers an effective computing platform to accelerate a wide class of data-parallel computing. Multi-GPU’s appear as an attractive platform to speed up the computation of data-parallel GPU. This paper aims to explore the feasibility of relaxing the task-level restriction of single GPU use in multi-GPU real-time systems.We develop […]

Being sort is most frequent operation in science of computation, till date many sorting algorithms are proposed for CPUs & GPUs .Generally GPUs suffers with low memory sizes, due to this it is not possible to accommodate large data in GPU global Memory which arises external sorting techniques. These GPU based external sorting algorithms are […]

Submission Deadline: 2014-11-10 Publication: All accepted papers of ICAEE 2015 will be published by International Journal of Information and Electronics Engineering (IJIEE) which will be indexed by Google Scholar, Electronic Journals Library,Engineering & Technology Digital Library,Crossref and ProQuest, DOAJ, Ei (INSPEC, IET). Topics: Electronics and Communications Engineering QoS Provisioning and Architectures Telecommunication Services and Applications […]

Submission Deadline: 2014-10-10 Publication: International Journal of Knowledge Engineering Topics: T1 • Novel Algorithms T2 • Association Rules T3 • Knowledge engineering and management T4 • Classification T5 • Clustering T6 • Text analysis and text understanding T7 • Machine Learning T8 • Privacy Preserving Data Mining T9 • Statistical Methods T10 • Parallel and […]

Submission Deadline: 2014-10-10 Publication: Accepted papers will be published in the one of the following Journal with ISSN： International Journal of Future Computer and Communication (IJFCC) (ISSN: 2010-3751,DOI: 10.7763/IJFCC), Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals Library, EI (INSPEC, IET). Topics: Algorithms High Performance Computing Artificial Intelligence and […]

Twilight, an interactive multi-touch graph visualization research tool jointly developed by the University of Amsterdam and SURFsara, uses the Fruchterman-Reingold algorithm (amongst others) to create meaningful layouts for graphs. The required time for this algorithm to complete scales exponentially with the size of the graphs, therefore rendering large graphs quickly becomes impractical. To combat this […]

Polygon overlay is one of the complex operations in computational geometry. It is applied in many fields such as Geographic Information Systems (GIS), computer graphics, VLSI CAD, etc. We have two significant results to report. Our first result is the first output-sensitive CREW PRAM algorithm for simple polygons, which can perform typical set operations including […]

Divide-and-conquer algorithm is a numerically stable and efficient algorithm that computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix. We often face the situation where the input matrix fits into the main memory but not into the on-chip memory of a GPU device. We present an out-of-core implementation where only part of the input […]

In recent years, Unmanned Aerial Vehicles (UAVs) are emerged as an attractive technology for different types of military and civil applications which have gained importance in academic researches. In these emerging research areas, UAV autonomy gets a great part and mainly it refers the ability for automatic take-off, landing and path planning of UAVs. In […]

Fast, scalable, low-cost, and low-power execution of parallel graph algorithms is important for a wide variety of commercial and public sector applications. Breadth First Search (BFS) imposes an extreme burden on memory bandwidth and network communications and has been proposed as a benchmark that may be used to evaluate current and future parallel computers. Hardware […]

It is well acknowledged that the dominant mechanism for scaling processor performance has become to increase the number of cores on a chip, rather than improve the performance of a single core. However, harnessing these extra cores to improve single application performance remains an extremely challenging task. A recent trend has been to use commodity […]

The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel algorithms for large-scale simulations of turbulent flows on different supercomputer architectures. It reports experience with massively-parallel accelerators including graphics processing units of AMD and NVIDIA and Intel Xeon Phi coprocessors. Secondly, it introduces new series of direct numerical […]