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Condor glidein-based workload management system (glideinWMS) has been developed and integrated with distributed physics analysis and Monte Carlo (MC) production system at Compact Muon Solenoid (CMS) experiment. The late-binding between the jobs and computing element (CE), and the validation of WorkerNode (WN) environment help significantly reduce the failure rate of Grid jobs. For CPU-consuming MC...
Grid computing has become very popular in big and widespread scientific communities with high computing demands, like high energy physics. Computing resources are being distributed over many independent sites with only a thin layer of grid middleware shared between them. This deployment model has proven to be very convenient for computing resource providers, but has introduced several problems for...
The computing system of the CMS experiment uses distributed resources from more than 60 computing centres worldwide. Located in Europe, America and Asia, these centres are interconnected by the Worldwide LHC Computing Grid. The operation of the system requires a stable and reliable behavior of the underlying infrastructure. CMS has established a procedure to extensively test all relevant aspects of...
In preparation for first data at the LHC, a series of Data Challenges, of increasing scale and complexity, have been performed. Large quantities of simulated data have been produced on three different Grids, integrated into the ATLAS production system. During 2006, the emphasis moved towards providing stable continuous production, as is required in the immediate run-up to first data, and thereafter...
In this work, an improved hybrid MoM/FDTD algorithm for modeling low to ultra high field MRI RF coil/sample interactions has been proposed. In our previous hybrid MoM/FDTD method, the accuracy of modeling MRI RF coils is generally hindered by two major issues, staircasing errors and rough approximation of the coil current distortions by electromagnetic reflections from sample. In view of this, a Huygen's...
Accurate, computationally intensive numerical algorithms have become necessary to handle the increasing complexity of electromagnetic problems in biological applications. In this work, a high performance hybrid- MoM/FDTD approach is presented for electromagnetic analysis and design applications in microwave breast tumor detection. The proposed algorithm is based on Huygen's equivalent surface methods...
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