Alexander Heinecke
Biography
In 2013 Alexander finished his Ph.D. studies in CS at Technische Universität München, Germany. He joined Intel's Parallel Computing Lab (PCL) in Santa Clara, CA, USA in 2014 as Research Scientist and works since 2020 as Principal Engineer in the PCL.
His core research field is in building a deep knowledge of hardware-aware multi/many-core computing in scientific computing and deep learning. Special focus is hereby given to deep learning primitives such as CNN, RNN/LSTM and MLPs and as well to their use in applications ranging from various ResNets to BERT.
Alexander was awarded the Intel Doctoral Student Honor Programme Award in 2012. In 2013 and 2014 he and his co-authors received the PRACE ISC Award. Additionally, 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.
His core research field is in building a deep knowledge of hardware-aware multi/many-core computing in scientific computing and deep learning. Special focus is hereby given to deep learning primitives such as CNN, RNN/LSTM and MLPs and as well to their use in applications ranging from various ResNets to BERT.
Alexander was awarded the Intel Doctoral Student Honor Programme Award in 2012. In 2013 and 2014 he and his co-authors received the PRACE ISC Award. Additionally, 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.
Presentations
Paper
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Scalable Computing
TP