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Alexander Heinecke
Alexander Heinecke is a Senior Principal Engineer at Intel's Parallel Computing Lab in Santa Clara, CA, USA. His core research is in hardware-software co-design for scientific computing and deep learning. Applications under investigation are complexly structured, normally adaptive, numerical methods which are quite difficult to parallelize. Special focus is hereby given to deep learning primitives such as CNN, RNN/LSTM and MLPs. Before joining Intel Labs in 2013, he finished his Ph.D. studies at TUM.

Alexander was awarded the Intel Doctoral Student Honor Program Award in 2012. In 2013 and 2014 he and his co-authors received the PRACE ISC Award. In 2014, he and his co-authors were selected as Gordon Bell finalists. He also received 2 Intel Labs Gordy Awards and 1 Intel Achievement Award. Alexander has more than 50 peer-reviewed publications, 14 granted patents more than 50 pending patent applications.
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