Author:
Price James,McIntosh-Smith Simon
Publisher
Springer International Publishing
Reference28 articles.
1. Ansel, J., O’Reilly, U.M.: OpenTuner: an extensible framework for program autotuning. MIT CSAIL Technical report MIT-CSAIL-TR-2013-026 (2013)
2. Lecture Notes in Computer Science;P Balaprakash,2014
3. Balaprakash, P., Wild, S.M., Hovland, P.D.: Can search algorithms save large-scale automatic performance tuning? Procedia Comput. Sci. 4, 2136–2145 (2011). Proceedings of the International Conference on Computational Science ICCS 2011
4. Bilmes, J., Asanovic, K.C.: Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology. In: International Conference on Supercomputing, pp. 340–347 (1997)
5. Lecture Notes in Computer Science;DS Bolme,2011
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