@@ -144,7 +144,13 @@ up exploration of large and non-linear optimization spaces
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and even enable run-time adaptation (self-tuning computer
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systems).
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- Our colleagues have managed to speed up their real-world
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+ For example, check out public GCC/LLVM optimization results
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+ of various shared workloads across diverse hardware including
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+ mobile devices provided by volunteers:
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+ * http://cTuning.org/crowd-results
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+ * https://play.google.com/store/apps/details?id=openscience.crowdsource.experiments
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+
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+ Furthermore, our colleagues have managed to speed up their real-world
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applications across latest platforms
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(from mobile phones to cloud servers) by 10x with the same
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numerical accuracy, reduce energy by 30% and code size
@@ -363,6 +369,17 @@ and various tutorials) for more details:
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* https://github.com/ctuning/ck/wiki
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+ Participating in experiment crowdsourcing
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+ =========================================
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+ You can easily partipcate in collaborative program optimization and
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+ machine learning using the following two steps:
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+
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+ $ ck pull repo: ck-crowdtuning
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+
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+ $ ck crowtune program
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+
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+ All public optimization results are available at http://cTuning.org/crowd-results
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+
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Questions/comments/discussions?
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===============================
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Please, use our mailing lists:
@@ -375,8 +392,9 @@ Publications
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============
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Concepts has been described in the following publications:
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- * http://bit.ly/ck-date16 (DATE'16)
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* http://arxiv.org/abs/1506.06256 (CPC'15)
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+ * http://bit.ly/ck-date16 (DATE'16)
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+ * http://cknowledge.org/interactive-report
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* http://hal.inria.fr/hal-01054763 (Journal of Scientific Programming'14)
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* http://arxiv.org/abs/1406.4020 (TRUST'14 @ PLDI'14)
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* https://hal.inria.fr/inria-00436029 (GCC Summit'09)
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