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Using the Grid to Test the ATLAS Trigger and Data Acquisition System at Large Scale

Alessandra Forti, Hegoi Garitaonandia, Jiri Masik, Sarah Wheeler, Thorsten Wengler
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

Alessandra Forti, Hegoi Garitaonandia, Jiri Masik, Sarah Wheeler, Thorsten Wengler
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

Henri Bal, Kees Verstoep
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]

A. G. Hoekstra, S. F. Portegies Zwart, M. Bubak, P. M. A. Sloot
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

Rudolf Strijkers, Willem Toorop, Alain van Hoof, Paola Grosso, Adam Belloum, Dmitry Vasuining, Cees de Laat, Robert Meijer
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]

Peter Sloot, Simon Portegies Zwart, Marian Bubak, Alfons Hoekstra
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

Krzysztof Kurowski, Tomasz Piontek, Piotr Kopta, Mariusz Mamoński, Bartosz Bosak
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

Hui Li, Lex Wolters
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

Emmanuel Agullo, Camille Coti, Thomas Herault, Julien Langou, Sylvain Peyronnet, Ala Rezmerita, Franck Cappello, Jack Dongarra
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

Zhifeng Yun, Zhou Lei, Gabrielle Allen, Daniel S. Katz, Tevfik Kosar, Shantenu Jha, Jagannathan Ramanujam
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

Yoshio TANAKA, Yoshio TANAKA
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

Jason Maassen, Kees Verstoep, Henri E. Bal, Paola Grosso, Cees de Laat
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

Ron Brightwell, Steve Plimpton
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

Xingfu Wu, Valerie Taylor
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

Hiroshi Takemiya, Yoshio Tanaka, Satoshi Sekiguchi, Shuji Ogata, Rajiv Kalia, Aiichiro Nakano, Priya Vashishta
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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