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The READEX formalism for automatic tuning for energy efficiency

J. Schuchart, M. Gerndt, P. Kjeldsberg, M. Lysaght, D. Horak, L. Riha, A. Gocht, M. Sourouri, M. Kumaraswamy, A. Chowdhury, M. Jahre, K. Diethelm, O. Bouizi, U. Mian, J. Kruzik, R. Sojka, M. Beseda, V. Kannan, Z. Bendifallah, D. Hackenberg, and W. Nagel. Computing, (2017)
DOI: 10.1007/s00607-016-0532-7

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Experimental Validation of the Learning Effect for a Pedagogical Game on Computer Fundamentals.G. Sindre, L. Natvig, and M. Jahre. IEEE Trans. Education, 52 (1): 10-18 (2009)A Study of Energy and Locality Effects Using Space-Filling Curves.N. Reissmann, J. Meyer, and M. Jahre. IPDPS Workshops, page 815-822. IEEE Computer Society, (2014)The READEX formalism for automatic tuning for energy efficiency.J. Schuchart, M. Gerndt, P. Kjeldsberg, M. Lysaght, D. Horák, L. Ríha, A. Gocht, M. Sourouri, M. Kumaraswamy, A. Chowdhury and 11 other author(s). Computing, 99 (8): 727-745 (2017)Efficient control flow restructuring for GPUs.N. Reissmann, T. Falch, B. Bjornseth, H. Bahmann, J. Meyer, and M. Jahre. HPCS, page 48-57. IEEE, (2016)Computational Computer Architecture Research at NTNU.M. Jahre, and L. Natvig. ERCIM News, (2010)A Vector Caching Scheme for Streaming FPGA SpMV Accelerators.Y. Umuroglu, and M. Jahre. ARC, volume 9040 of Lecture Notes in Computer Science, page 15-26. Springer, (2015)DTP: Enabling Exhaustive Exploration of FPGA Temporal Partitions for Streaming HPC Applications.M. Koraei, M. Jahre, and S. Fatemi. HEART, page 7:1-7:11. ACM, (2017)Scaling Binarized Neural Networks on Reconfigurable Logic.N. Fraser, Y. Umuroglu, G. Gambardella, M. Blott, P. Leong, M. Jahre, and K. Vissers. PARMA-DITAM@HiPEAC, page 25-30. ACM, (2017)Perfect Reconstructability of Control Flow from Demand Dependence Graphs.H. Bahmann, N. Reissmann, M. Jahre, and J. Meyer. TACO, 11 (4): 66:1-66:25 (2014)Towards Efficient Design Space Exploration of FPGA-based Accelerators for Streaming HPC Applications (Abstract Only).M. Koraei, M. Jahre, and S. Fatemi. FPGA, page 287. ACM, (2017)

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The READEX formalism for automatic tuning for energy efficiency

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The READEX formalism for automatic tuning for energy efficiency

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The READEX formalism for automatic tuning for energy efficiency