Six papers and a demo presented at SIGMOD 2017 and collocated Workshops

The following six papers and a demo have been presented at SIGMOD 2017 and collocated Workshops in Chicago, IL, May 14-19, 2017:

"BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads" by Darko Makreshanski, Jana Giceva, Claude Barthels and Gustavo Alonso, SIGMOD 2017

"Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures" by David Sidler, Zsolt István, Mohsen Ewaida, Gustavo Alonso, SIGMOD 2017

"Heterogeneity-aware Distributed Parameter Servers" by Jiawei Jiang*, Bin Cui*, Ce Zhang, Lele Yu* *(Peking University), SIGMOD 2017

"FPGA Based Data Partitioning" by Kaan Kara, Jana Giceva, Gustavo Alonso, SIGMOD 2017

"An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision by Ce Zhang, Wentao Wu (Microsoft Research) and Tian Li (Peking University), Workshop on Human-In-the-Loop Data Analytics (HILDA 2017) collocated with SIGMOD 2017

"Scaling Column Imprints using Advanced Vectorization" by Lefteris Sidirourgos (ETH) and Hannes Muhleisen (CWI), 13th International Workshop on Data Management on New Hardware (DaMoN 2017) collocated with SIGMOD 2017

DEMO: "doppioDB: A Hardware Accelerated Database" by David Sidler, Zsolt Istvan, Muhsen Owaida, Kaan Kara, and Gustavo Alonso, SIGMOD 2017