Pump Up the Volume
Author:
Affiliation:
1. DFKI GmbH, Berlin, Germany
2. TU Berlin, Berlin, Germany
3. HPI, University of Potsdam, Potsdam, Germany
4. DFKI GmbH, TU Berlin, Berlin, Germany
Funder
Deutsche Forschungsgemeinschaft
Horizon 2020
Bundesministerium für Bildung und Forschung
Bundesministerium für Wirtschaft und Energie
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3318464.3389705
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3. Raja Appuswamy Manos Karpathiotakis Danica Porobic and Anastasia Ailamaki. 2017. The Case For Heterogeneous HTAP. In CIDR. Raja Appuswamy Manos Karpathiotakis Danica Porobic and Anastasia Ailamaki. 2017. The Case For Heterogeneous HTAP. In CIDR.
4. Arash Ashari Shirish Tatikonda Matthias Boehm Berthold Reinwald Keith Campbell John Keenleyside and P. Sadayappan. 2015. On optimizing machine learning workloads via kernel fusion. In PPoPP. 173--182. https://doi.org/10.1145/2688500.2688521 Arash Ashari Shirish Tatikonda Matthias Boehm Berthold Reinwald Keith Campbell John Keenleyside and P. Sadayappan. 2015. On optimizing machine learning workloads via kernel fusion. In PPoPP. 173--182. https://doi.org/10.1145/2688500.2688521
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