Aug, 13

The 4th International Conference on Knowledge, ICK 2015

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 […]
Aug, 13

The 4th International Conference on Network and Computer Science, ICNCS 2015

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 […]
Aug, 11

Accelerating Fruchterman-Reingold with OpenCL

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 […]
Aug, 11

MPI-GIS: New Parallel Overlay Algorithm and System Prototype

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 […]
Aug, 11

A Memory-Efficient Algorithm for Large-Scale Symmetric Tridiagonal Eigenvalue Problem on Multi-GPU Systems

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 […]
Aug, 11

UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

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 […]
Aug, 11

Parallel Breadth First Search on GPU Clusters

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 […]
Aug, 10

Optimising Purely Functional GPU Programs (Thesis)

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 […]
Aug, 10

Direct Numerical Simulation of Turbulent Flows with Parallel Algorithms for Various Computing Architectures

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 […]
Aug, 10

GPGPU Based Aeroacoustic Optimization of a Contra-Rotating Fan

Contra-rotating fans have several advantages over single stage axial fans. If they are well designed, the exit flow field is almost irrotational. This helps to increase the aerodynamic efficiency by up to 16%, when compared to single stage fans. However, since the second stage interacts with the flow disturbances from the first stage, the associated […]
Aug, 10

An Improved Image Segmentation Algorithm Based on GPU Parallel Computing

In the process of image segmentation, the classic Fuzzy C-Means (FCM) algorithm is time-consuming and depends heavily on initialization center. Based on Graphic Processing Unit (GPU), this paper proposes a novel FCM algorithm by improving the computational formulas of membership degree and the update criterion of cluster centers. Our algorithm can initialize cluster centers purposefully […]
Aug, 10

Faster sequence alignment through GPU-accelerated restriction of the seed-and-extend search space

MOTIVATION: In computing pairwise alignments of biological sequences, software implementations employ a variety of heuristics that decrease the computational effort involved in computing potential alignments. A key element in achieving high processing throughput is to identify and prioritize potential alignments where high-scoring mappings can be expected. These tasks involve list-processing operations that can be efficiently […]
Page 5 of 748« First...34567...102030...Last »

* * *

* * *

Like us on Facebook

HGPU group

140 people like HGPU on Facebook

Follow us on Twitter

HGPU group

1220 peoples are following HGPU @twitter

Featured events

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: AMD APP SDK 2.9
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 6.0.1, AMD APP SDK 2.9

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2014 hgpu.org

All rights belong to the respective authors

Contact us: