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One optimized I/O configuration per HPC application: leveraging the configurability of cloud.

, , , , and . APSys, page 15. ACM, (2011)

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One optimized I/O configuration per HPC application: leveraging the configurability of cloud., , , , and . APSys, page 15. ACM, (2011)Visual tracking using sequential importance sampling with a state partition technique., , , , and . ICIP (3), page 876-879. IEEE, (2005)Target Tracking using a Particle Filter Based on the Projection Method., , and . ICASSP (3), page 1189-1192. IEEE, (2007)Spectral signature calculations and target tracking for remote sensing., , , , and . IEEE Trans. Instrumentation and Measurement, 55 (4): 1430-1442 (2006)ACIC: automatic cloud I/O configurator for parallel applications., , , , , , and . HPDC, page 111-112. ACM, (2013)A New Centralized Sensor Fusion-Tracking Methodology Based on Particle Filtering for Power-Aware Systems., , , and . IEEE Trans. Instrumentation and Measurement, 57 (10): 2377-2387 (2008)ACIC: automatic cloud I/O configurator for HPC applications., , , , , , and . SC, page 38:1-38:12. ACM, (2013)Braille document recognition using Belief Propagation., , , and . J. Vis. Commun. Image Represent., 21 (7): 722-730 (2010)Cloud versus in-house cluster: evaluating Amazon cluster compute instances for running MPI applications., , , , and . SC State of the Practice Reports, page 11:1-11:10. ACM, (2011)Employing Checkpoint to Improve Job Scheduling in Large-Scale Systems., , , , , , and . JSSPP, volume 7698 of Lecture Notes in Computer Science, page 36-55. Springer, (2012)