Titlebook: Quantum Aspects of Optical Communications; Proceedings of a Wor Cherif Bendjaballah,Osamu Hirota,Serge Reynaud Conference proceedings 1991

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Masanao Ozawas will generate in the exabyte (EB) range of data, require tens to 1,000 PFLOPS of peak on-demand computing resources, and utilize billions of core hours per year. Scientific discovery on this scale will be enabled by data management and workflow tools that integrate user facility instruments with s

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Izo I. Abramram-Schmidt (MGS) and Classical Gram-Schmidt with Re-orthogonalization (CGSR). Furthermore, our mixed-precision GMRES, when restarted at least once, performed 19% and 24% faster on average than double-precision GMRES for MGS and CGSR, respectively. Our implementation uses generic programming techniq

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K. J. Blow,R. Loudon,S. J. D. Phoenix on high performance computers and train a machine-learned surrogate model. This computationally inexpensive surrogate model can then be transferred to the computing units residing closely to the experimental facilities to perform high-fidelity simulations at a much higher throughout. The model will

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Yoshitomi Morikawa,Yoshié Otake Takahara,Osamu Hirotaardware development capability for streaming/dataflow hardware components that can be placed close to the data source to enable extreme data-intensive scientific experiments or environmental sensing. Furthermore, reducing data movement is essential to improving computing performance in general. Ther

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