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Auto-Tuning Stencil Computations on Multicore and Accelerators.

, , , , , , and . Scientific Computing with Multicore and Accelerators, CRC Press / Taylor & Francis, (2010)

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Auto-Tuning Stencil Computations on Multicore and Accelerators., , , , , , and . Scientific Computing with Multicore and Accelerators, CRC Press / Taylor & Francis, (2010)Implicit and explicit optimizations for stencil computations., , , , , and . Memory System Performance and Correctness, page 51-60. ACM, (2006)Large Scale Training through Spoken Tutorials to Promote and use OpenModelica., , , , , , and . Modelica, volume 132 of Linköping Electronic Conference Proceedings, page 132:029. Linköping University Electronic Press, (2017)An Extreme Firm-Specific News Sentiment Asymmetry Based Trading Strategy., , , , and . SSCI, page 898-904. IEEE, (2015)Titanium Performance and Potential: An NPB Experimental Study., , and . LCPC, volume 4339 of Lecture Notes in Computer Science, page 200-214. Springer, (2005)Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors., , , , , and . SIAM Rev., 51 (1): 129-159 (2009)