Titlebook: High Performance Computing for Computational Science - VECPAR 2008; 8th International Co José M. Laginha M. Palma,Patrick R. Amestoy,Jo?o C

成績上升

堅毅

High Performance Computing for Eigenvalue Solver in Density-Matrix Renormalization Group Method: Parf large quantum lattice models. Since the DMRG method has been originally developed for 1-D models, many extended method to a 2-D model have been proposed. However, some of them have issues in term of their accuracy. It is expected that the accuracy of the DMRG method extended directly to 2-D models

DAUNT

Tunable Parallel Experiments in a GridRPC Framework: Application to Linear Solverstems (with their own specific syntax) and have to set many parameters to tune their applications (. processors and/or threads mapping, memory resource constraints). Moreover, finding the optimal performance is not the only criteria when a pool of jobs is submitted on the Grid (for numerical parametr

陰郁

The Rise of the Commodity Vectorspremiere supercomputers on the Top500, growing to the scale of over 10,000 CPU cores and beyond. Still,"classical" specialized vector supercomputers still remain to be sold and facilitated, especially at high end of the market, largely due to the nature of some of the HPC workloads still requiring t

TOXIN

MOPS – A Morphodynamical Prediction System on Cluster Computersn. In particular, all areas with steep bathymetry gradients like tidal rivulets or shipping channels require highly resolved simulations. Since it is not feasible to run the total model domain with the same high resolution everywhere, this problem calls for a multiply nested approach. Still, the amo

clarify

TOXIN

Vectorized AES Core for High-throughput Secure Environmentsners and programmers are increasingly forced to think in parallel. In this paper we present the evaluation of an encryption core capable of handling multiple data streams. The design is oriented towards future scenarios for internet, where throughput capacity requirements together with privacy and i

CLASP

A Matrix Inversion Method with YML/OmniRPC on a Large Scale Platform provides a high level programming tool. It is independent from middlewares and users are not in charge to manage communications. In consequence, it introduces a new level of communications and it generates an overhead. In this paper, we proposed to show the overhead of YML is tolerable in compariso

Biofeedback

Can We Connect Existing Production Grids into a World Wide Grid?grid equivalent of the WWW, the World Wide Grid can be created. We define requirements towards a workflow-oriented computational World Wide Grid and propose a solution how current production Grids can be connected in order to form the technical basis of this infrastructure. A meta-broker concept and

ALIBI

A List Scheduling Algorithm for Scheduling Multi-user Jobs on Clustersendent tasks and it is described by a direct acyclic graph (DAG). The aim is to maximize the resource usage by allowing a floating mapping of processors to a given job, instead of the common mapping approach that assigns a fixed set of processors to a user for a period of time. The simulation result