Grids include heterogeneous resources, which are based on different hardware and software architectures or components. In correspondence with this diversity of the infrastructure, the execution time of any single job, as well as the total grid performance can both be affected substantially, which can be demonstrated by measurements. Running a simple benchmarking suite can show this heterogeneity and give us results about the differences over the grid sites
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The NAS Grid Benchmarks (NGB) are a collection of synthetic distributed applications designed to rat...
An important factor that needs to be taken into account by end-users and systems (schedulers, resour...
Grid architectures are collections of computational and data storage resources linked by communicati...
Abstract — In this work we report on data gathered via a deployment of a monitoring and benchmarking...
The grid computing vision promises to provide the needed platform for a new and more demanding range...
The CERN ATLAS experiment grid workflow system manages routinely 250 to 500 thousand concurrently ru...
The CERN ATLAS experiment grid workflow system manages routinely 250 to 500 thousand concurrently ru...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
At the most conservative estimates, ATLAS will produce over 1 Pb of data per year requiring 1-2M Spe...
In the past two years the ATLAS Collaboration at the LHC has collected a large volume of data and pu...
Abstract. Grid information systems play a central role in today’s pro-duction Grid infrastructures, ...
Grid computing provides the main resource for data processing of High Energy Physics experiments, an...
Abstract. In this article we present the software architecture and implementation of GridBench, an e...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The NAS Grid Benchmarks (NGB) are a collection of synthetic distributed applications designed to rat...
An important factor that needs to be taken into account by end-users and systems (schedulers, resour...
Grid architectures are collections of computational and data storage resources linked by communicati...
Abstract — In this work we report on data gathered via a deployment of a monitoring and benchmarking...
The grid computing vision promises to provide the needed platform for a new and more demanding range...
The CERN ATLAS experiment grid workflow system manages routinely 250 to 500 thousand concurrently ru...
The CERN ATLAS experiment grid workflow system manages routinely 250 to 500 thousand concurrently ru...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
At the most conservative estimates, ATLAS will produce over 1 Pb of data per year requiring 1-2M Spe...
In the past two years the ATLAS Collaboration at the LHC has collected a large volume of data and pu...
Abstract. Grid information systems play a central role in today’s pro-duction Grid infrastructures, ...
Grid computing provides the main resource for data processing of High Energy Physics experiments, an...
Abstract. In this article we present the software architecture and implementation of GridBench, an e...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The performance benefit when using Grid systems comes from different strategies, among which partiti...
The NAS Grid Benchmarks (NGB) are a collection of synthetic distributed applications designed to rat...