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doppioDB 1.0: Machine Learning inside a Relational Engine

Gustavo Alonso, Zsolt István, Kaan Kara, Muhsen Owaida, David Sidler
2019 IEEE Data Engineering Bulletin  
In this paper we present doppioDB 1.0, an FPGA-enabled database engine incorporating FPGA-based machine learning operators into a main memory, columnar DBMS (MonetDB).  ...  ., complete data analyses involving machine learning inside the database instead of having to take the data out, process it in a different platform, and then store the results back in the database as it  ...  We would also like to thank Lefteris Sidirourgos for feedback on the initial design of doppioDB and contributions to an earlier version of this paper.  ... 
dblp:journals/debu/AlonsoIKOS19 fatcat:6vxbetufyrddxpy7tidsltuov4

Tackling Hardware/Software co-design from a database perspective

Gustavo Alonso, Timothy Roscoe, David Cock, Mohsen Ewaida, Kaan Kara, Dario Korolija, David Sidler, Zeke Wang
2020 Conference on Innovative Data Systems Research  
In this paper we report on two ongoing, longterm projects: Enzian, an experimental hardware platform to explore the design of software systems on future hardware, and doppioDB, a research database engine  ...  Hardware is evolving at a very fast pace due to diverse trends in the IT industry.  ...  Acknowledgements The following doctoral students and post-docs have contributed to the development of Enzian and DoppioDB in a variety of capacities: Zsolt Istvan, Adam Turowski, Tobias Grosser, Amit Kulkarni  ... 
dblp:conf/cidr/AlonsoRCEKKSW20 fatcat:pgzb5hv4jfa5nioeutd5ry44da

FPGA-Accelerated Analytics: From Single Nodes to Clusters

Zsolt István, Kaan Kara, David Sidler
2020 Foundations and Trends in Databases  
doppioDB 1.0: Machine learning inside a relational engine". IEEE Data Engineering Bulletin. 42(2): 19-31. Amazon F1 Instances (n.d.). aws.amazon.com/ec2/instance-types/f1/.Asiatici, M., N. George, K.  ...  "Large-scale machine learning with stochastic gradient descent". In: Proceedings of COMPSTAT'2010. Springer. 177-186. Byma, S., J. G. Steffan, H. Bannazadeh, A. L. Garcia, and P. Chow (2014).  ... 
doi:10.1561/1900000072 fatcat:ghwjkt7yh5c2vpvmilxbh2a534

Accelerating generalized linear models with MLWeaving

Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang
2019 Proceedings of the VLDB Endowment  
Learning from the data stored in a database is an important function increasingly available in relational engines.  ...  To address the issue, in this paper we present MLWeaving, a data structure and hardware acceleration technique intended to speed up learning of generalized linear models in databases.  ...  We thank Intel for their donation of the HARP2 machine.  ... 
doi:10.14778/3317315.3317322 fatcat:gf3xhgsagrbr3mk47754idkfzq