The functional performance model (FPM) of heterogeneous processors has proven to be more realistic than the traditional models because it integrates many important features of heterogeneous processors such as the processor heterogeneity, the heterogeneity of memory structure, and the effects of paging. Optimal 1D matrix partitioning algorithms employing FPMs of heterogeneous processors are alre...

We propose an enhanced grid-density based approach for clustering high dimensional data. Our technique takes objects (or points) as atomic units in which the size requirement to cells is waived without losing clustering accuracy. For efficiency, a new partitioning is developed to make the number of cells ccepted 25 February 2011 vailable online 8 March 2011

Fast Internet connections and the widespread use of high performance graphic cards are making Distributed Virtual Environments very common nowadays. The architecture and behaviour of these systems are very similar to new grid computing applications where concepts as sharing and high scalability are extremely exploited. However, there are several key issues in these systems that should still be ...

Two kinds of approximation algorithms exist for the k-BALANCED PARTITIONING problem: those that are fast but compute unsatisfactory approximation ratios, and those that guarantee high quality ratios but are slow. In this article we prove that this tradeoff between running time and solution quality is unavoidable. For the problem a minimum number of edges in a graph need to be found that, when c...

In addition to high compression efficiency, future still and moving image coding systems will require many other features. They include fidelity and resolution scalability, region of interest enhancement, random access decoding, resilience to errors due to channel noise or packet loss, fast encoding and/or decoding speed, and low computational and hardware complexity. Moreover, there are emergi...

In parallel simulations, partitioning and load-balancing algorithms compute the distribution of application data and work to processors. The effectiveness of this distribution greatly influences the performance of a parallel simulation. Decompositions that balance processor loads while keeping the application's communication costs low are preferred. Although a wide variety of partitioning and l...

grid computing is an emerging computing paradigm that will have significant impact on the next generation information infrastructure. due to the largeness and complexity of grid system, its quality of service, performance and reliability are difficult to model, analyze and evaluate. this paper proposes a virtual tree-structured model of the grid service. this model simplifies the physical struc...

purpose: to evaluate the rate of optical coherence tomography (oct) grid decentration in a routine practice and its effect on thickness measurements methods: topcon spectral domain oct scans from various macular diseases including age related macular degeneration, diabetic macular edema, macular pucker and central serous chorioretinopathy (cscr) were studied in all patients visited during seven...