high performance computing on graphics processing units: hgpu.org

In this paper, we solve the problem of estimating dense and accurate depth maps from a single moving camera. A probabilistic depth measurement is carried out in real time on a per-pixel basis and the computed uncertainty is used to reject erroneous estimations and provide live feedback on the reconstruction progress. Our contribution is a […]

The rapidly growing field of nature-inspired computing concerns the development and application of algorithms and methods based on biological or physical principles. This approach is particularly compelling for practitioners in high-performance computing, as natural algorithms are often inherently parallel in nature (for example, they may be based on a "swarm"-like model that uses a population […]

On modern multi-core, many-core, and heterogeneous architectures, floating-point computations, especially reductions, may become non-deterministic and thus non-reproducible mainly due to non-associativity of floating-point operations. We introduce a solution to compute deterministic sums of floating-point numbers efficiently and with the best possible accuracy. Our multi-level algorithm consists of two main stages: a filtering stage that uses […]

Wavelets and their associated transforms are highly efficient when approximating and analyzing one-dimensional signals. However, multivariate signals such as images or videos typically exhibit curvilinear singularities, which wavelets are provably deficient of sparsely approximating and also of analyzing in the sense of, for instance, detecting their direction. Shearlets are a directional representation system extending the […]

Recent evolution of high performance computing moved towards heterogeneous platforms: multiple devices with different architectures, characteristics and programming models, share application workloads. To aid the programmer to efficiently explore these heterogeneous platforms several frameworks have been under development. These dynamically manage the available computing resources through workload scheduling and data distribution, dealing with the inherent […]

Feature or variable selection still remains an unsolved problem, due to the infeasible evaluation of all the solution space. Several algorithms based on heuristics have been proposed so far with successful results. However, these algorithms were not designed for considering very large datasets, making their execution impossible, due to the memory and time limitations. This […]

With the advent of general-purpose GPU computing, it is becoming increasingly desirable to protect GPUs from soft errors. For high computation throughout, GPUs must store a significant amount of state and have many execution units. The high power and area costs of full protection from soft errors make selective protection techniques attractive. Such approaches provide […]

According to GaBP (Gaussian Belief Propagation) algorithm, this article presents a GaBP-GPU algorithm of solving large-scale symmetric diagonally dominant sparse linear systems based on GPU. Combined with GaBP-GPU algorithm, a storage format (MCSC) is presented. We extract some diagonally dominant matrices from the University of Florida Sparse Matrix Collection as test examples. The experimental results […]

Dedispersion is a basic algorithm to reconstruct impulsive astrophysical signals. It is used in high sampling-rate radio astronomy to counteract temporal smearing by intervening interstellar medium. To counteract this smearing, the received signal train must be dedispersed for thousands of trial distances, after which the transformed signals are further analyzed. This process is expensive on […]

Publication: All accepted papers of ICIII 2014 will be published in the Journal of Industrial and Intelligent Information (ISSN:2301-3745, DOI: 10.12720/jiii), and will be indexed by Ulrich’s Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library and Electronic Journals Library Submission Deadline: 2014-03-20 Call for Paper: 1. Neural networks and Applications 2. Machine Learning […]

Submission Deadline: 2014-03-20 Publication: All accepted papers of ICSEM 2014 will be published in the International Journal of Modeling and Optimization (ISSN:2010-3697), and will be included in the Engineering & Technology Digital Library, and indexed by Electronic Journals Library ProQuest,Google Scholar, Crossref, DOAJ and EI (INSPEC, IET). Call for Papers: Information Systems Engineering IS development […]

Publication: All accepted papers of ICCCM 2014 will be published in the following journals with ISSN: * International Journal of Computer and Communication Engineering (ISSN: 2010-3743), which will be indexed by Engineering & Technology Digital Library, Google Scholar, ProQuest, and Crossref. * Journal of Advanced Management Science (ISSN:2168-0787),which will be indexed by Ulrich’s Periodicals Directory, […]