Add to ORKGThis paper examines the role of parametric modeling as an application for the global computing grid, and explores some heuristics which make it possible to specify soft real time deadlines for larger computational experiments. We demonstrate the scheme with a case study utilizing the Globus toolkit running on the GUSTO testbed
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
Abstract. Powerful grid and cluster computers allow efficient distributed simulation. Optimistic sim...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...
This paper examines the role of parametric modeling as an application for the global computing grid,...
The evolution of a particular tool, Nimrod, from a local computing environment to the global computa...
Computing and data-intensive applications in physics, medicine, biology, graphics, and business inte...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
International audienceDespite extensive research focused on enabling QoS for grid users through econ...
The next generation of scientific experiments and studies, popularly called e-Science, is carried ou...
Scientic communities are using a growing number of distributed systems, from lo- cal batch systems, ...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
International audienceNuclear criticality safety assessment often requires groupwise Monte Carlo sim...
International audienceIGGI stands for infrastructure for grids, cluster and intranet. This research ...
The amount of data to be processed by experiments in high energy physics (HEP) will increase tremend...
Many current international scientific projects are based on large scale applications that are both c...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
Abstract. Powerful grid and cluster computers allow efficient distributed simulation. Optimistic sim...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...
This paper examines the role of parametric modeling as an application for the global computing grid,...
The evolution of a particular tool, Nimrod, from a local computing environment to the global computa...
Computing and data-intensive applications in physics, medicine, biology, graphics, and business inte...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
International audienceDespite extensive research focused on enabling QoS for grid users through econ...
The next generation of scientific experiments and studies, popularly called e-Science, is carried ou...
Scientic communities are using a growing number of distributed systems, from lo- cal batch systems, ...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
International audienceNuclear criticality safety assessment often requires groupwise Monte Carlo sim...
International audienceIGGI stands for infrastructure for grids, cluster and intranet. This research ...
The amount of data to be processed by experiments in high energy physics (HEP) will increase tremend...
Many current international scientific projects are based on large scale applications that are both c...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
Abstract. Powerful grid and cluster computers allow efficient distributed simulation. Optimistic sim...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...