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Using the Grid to Test the ATLAS Trigger and Data Acquisition System at Large Scale
2007
2007 15th IEEE-NPSS Real-Time Conference
The Tier2 cluster in Manchester was successfully used to run a full TDAQ system on 400 nodes using this implementation. ...
However the task of adapting the TDAQ system to run on the Grid is not trivial, as it requires full access to the computing resources it runs on and real-time interaction. ...
LARGE SCALE TESTS IN MANCHESTER TIER2 With the GridFarm package presented in the previous section, it was possible to run the TDAQ system on the Manchester Tier2 Grid cluster. ...
doi:10.1109/rtc.2007.4382817
fatcat:ff7nke7kb5aklkziany2jfc6h4
Using the Grid to Test the ATLAS Trigger and Data Acquisition System at Large Scale
2007
IEEE Transactions on Nuclear Science
The Tier2 cluster in Manchester was successfully used to run a full TDAQ system on 400 nodes using this implementation. ...
However the task of adapting the TDAQ system to run on the Grid is not trivial, as it requires full access to the computing resources it runs on and real-time interaction. ...
LARGE SCALE TESTS IN MANCHESTER TIER2 With the GridFarm package presented in the previous section, it was possible to run the TDAQ system on the Manchester Tier2 Grid cluster. ...
doi:10.1109/tns.2007.905169
fatcat:4kaqgl37qvehlm5nzlhsf2hhsi
Large-Scale Parallel Computing on Grids
2008
Electronical Notes in Theoretical Computer Science
We illustrate large-scale parallel computing on grids with three example applications that search large state spaces: transposition-driven search, retrograde analysis, and model checking. ...
Moreover, the bandwidth of wide-area networks increases rapidly, allowing even some applications that are extremely communication intensive to run on a grid, provided the underlying algorithms are latencytolerant ...
The initial work on TDS and Awari was performed largely by John Romein. ...
doi:10.1016/j.entcs.2008.11.010
fatcat:esb4axh6zberfdlf2m5y6w3rpe
Towards Distributed Petascale Computing
[article]
2007
arXiv
pre-print
environments (ranging from massively parallel computers, via large-scale special purpose machines to clusters of PC's) whose total integrated computing capacity can easily reach the PFlop/s scale. ...
We presents an estimate for the compute requirements to simulate the Galaxy as a typical example of a multi-scale multi-physics application, requiring distributed Petaflop/s computational power. ...
Large scale grid applications require on-line performance analysis. ...
arXiv:astro-ph/0703485v1
fatcat:6ye6eonjyjftpptn56v6jv6eam
AMOS: Using the Cloud for On-Demand Execution of e-Science Applications
2010
2010 IEEE Sixth International Conference on e-Science
We performed experiments with AMOS and a representative e-Science application on a research Grid and on the Amazon EC2 Cloud. ...
Furthermore, we consider AMOS as a step towards an operating system for (virtual) infrastructures that enables Grid applications to control their computational resources at run-time. ...
DESIGN CONSIDERATIONS AND ARCHITECTURE Grid computing enables large-scale resource sharing to support e-Science applications with large computational demands [5] . ...
doi:10.1109/escience.2010.15
dblp:conf/eScience/StrijkersTHGBVLM10
fatcat:76oruodzhnbzvclrkp4ueequ3m
Towards Distributed Petascale Computing
[chapter]
2007
Chapman & Hall/CRC Computational Science
Large scale grid applications require on-line performance analysis. ...
based on-line monitoring of grid applications. ...
doi:10.1201/9781584889106.ch8
fatcat:pskgmegknvg6tmwowxb4vgncsy
Parallel Large Scale Simulations in the PL-Grid Environment
2010
Computational Methods in Science and Technology
as well as support for parallel large-scale applications based on OpenMPI (for C/C++ and Fortran) or ProActive for Java. ...
middlewares preventing researchers from executing large-scale simulations in grids. ...
The PL-Grid project is co-funded by the European Regional Development Fund as part of the Innovative Economy program. ...
doi:10.12921/cmst.2010.si.01.47-56
fatcat:szrpk22dkbgtdlid257agmdpbu
Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
2007
2007 IEEE International Parallel and Distributed Processing Symposium
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. ...
We argue that pseudo-periodicity, LRD, and "bag-of-tasks" behavior are important workload properties on data-intensive clusters and Grids, which are not present in traditional parallel workloads. ...
We also want to thank Michael Muskulus, Steven Lowen (Harvard), and Rudolf Riedi (Rice) for their suggestions and discussions on point processes and scaling analysis issues. ...
doi:10.1109/ipdps.2007.370250
dblp:conf/ipps/LiW07
fatcat:34h5nnovazalfiu6pxunyi3wpi
QCG-OMPI: MPI applications on grids
2011
Future generations computer systems
Computational grids present promising computational and storage capacities. They can be made by punctual aggregation of smaller resources (i.e., clusters) to obtain a large-scale supercomputer. ...
The first one is inter-process communication: processes running on different clusters must be able to communicate with one another in spite of security equipments such as firewalls and NATs. ...
Experiments presented in this paper were carried out using the Grid'5000 experimental testbed, being developed under the INRIA ALADDIN development action with support from CNRS, RENATER and several Universities ...
doi:10.1016/j.future.2010.11.015
fatcat:c7wg66kyqfc37nfi7ypyybwjie
An innovative application execution toolkit for multicluster grids
2009
2009 IEEE International Conference on Cluster Computing and Workshops
Multicluster grids provide one promising solution to satisfying growing computation demands of compute-intensive applications by collaborating various networked clusters. ...
We make efforts on grid resource management and implement a toolkit called Pelecanus to improve the overall performance of application execution in multicluster grids environment. ...
However, it is well-known that the processing capability of any existing single cluster is still far from adequate for growing compute demands of large-scale applications. ...
doi:10.1109/clustr.2009.5289121
dblp:conf/cluster/YunLAKKJR09
fatcat:idax3ibhkjfx3c3stor24s4oay
Status and Future Direction of Grid Computing
2007
Medical Imaging Technology
Grid provides key technologies that satisfies these requirements and supports e-Science infrastructure. ...
In this paper, status and future directions of research and developments of Grid and e-Science will be presented. ...
We would also like to thank to the members of GEO Grid project in AIST. ...
doi:10.11409/mit.25.339
fatcat:3iegflf7gbdiroixvnnua2u5my
Assessing the impact of future reconfigurable optical networks on application performance
2009
2009 IEEE International Symposium on Parallel & Distributed Processing
This paper describes our experiences with running data-intensive applications on a grid that offers a (manually) reconfigurable optical wide-area network. ...
fashion on multiple sites of a computational grid. ...
Introduction Computational grids are most commonly used to run single-cluster workloads. ...
doi:10.1109/ipdps.2009.5160964
dblp:conf/ipps/MaassenVBGL09
fatcat:ybavvhwk5jelfn24ce6jdp4cem
Scalability and Performance of Two Large Linux Clusters
2001
Journal of Parallel and Distributed Computing
505)8~5-7397, FAX (505)8J5-7#2 Emaik brightfks.sandia.gov~jplimpt%x+andia.gov In th~paper we present performance results from sevem"parallel benchmarks and applications on a 400-node Lkmx cluster at Sandia ...
We compare the results on the Lmux cluster to performance obtained on a traditional distributed-memory massively parallel processing machiie, the Intel TeraFLOPS. ...
APPLICATIONS In this section we present performance results for three fill-scale applications run on both the Cplant and TFLOPS machhws. ...
doi:10.1006/jpdc.2001.1756
fatcat:sjm5zraqlbd27mex5fu7t3mypa
Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid
2008
2008 International Conference on Cyberworlds
Our experiments indicate that on-demand scheduling for resource allocation on different Grid sites ensures to run MPI programs on the Grid successfully. ...
optical Grid as an OptIPuter testbed, and execute parallel visualization applications and scientific applications to analyze the performance of these applications on the optical Grid. ...
Acknowledgements The authors would like to acknowledge the UIC EVL for the use of visualization clusters Yorda and Nico, and the UCSD Calit2 for the use of the visualization cluster Vellum. ...
doi:10.1109/cw.2008.85
dblp:conf/cw/WuT08
fatcat:i7emcwai3vhc7bjdefynz56dgi
Sustainable Adaptive Grid Supercomputing: Multiscale Simulation of Semiconductor Processing across the Pacific
2006
ACM/IEEE SC 2006 Conference (SC'06)
continuous days) on a Grid of geographically distributed parallel supercomputers. ...
scheme to adaptively adjust MD/QM boundaries to maintain the model accuracy; and 3) a hybrid Grid remote procedure call (GridRPC) + message passing interface (MPI) Grid application framework to combine ...
Acknowledgements We are grateful to TeraGrid executive committee members for providing their computing resources for the Grid experiment. ...
doi:10.1109/sc.2006.59
fatcat:kw5hzwvvnnhdpfgj6i3kt7cciq
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