OmniSci.jl: Bringing the open-source, GPU-accelerated relational database to Julia

OmniSci.jl: Bringing the open-source, GPU-accelerated relational database to Julia
By Randy Zwitch, Senior Developer Advocate at OmniSci

JuliaCon 2019 - Baltimore | July 24, 2019

Transcript

1. OmniSci.jl: Bringing the open-source, GPU-accelerated relational database to Julia JuliaCon 2019 - Baltimore
2. Randy Zwitch Senior Director of Developer Advocacy @randyzwitch randy.zwitch@omnisci.com /in/randyzwitch/ /randyzwitch
3. Data Grows Faster Than CPU Processing
4. GPU Processing Keeps Moore’s Law Alive
5. OmniSci and Julia: Separated at Birth? https://cmes.fas.harvard.edu/news/todd-mostak-am-12-wins-2011%E2%80%9312-am-thesis-prize https://cmes.fas.harvard.edu/news/cmes-am-graduate-explores-power-twitter-big-data Although not publicly available until June 2014, OmniSci (then MapD, “Massive Parallel Database”) was born out of academic research by (founder) Todd Mostak on the Arab Spring in 2011-2012 MapD milestones: 2011-2012: Mostak at Harvard Center for Middle Eastern Studies 2013: Mostak at MIT CSAIL under Michael Stonebreaker and Sam Madden 2013: MapD founded 2014: Project moved to GitHub 2014-2015: LLVM JIT query compilation added May 2017: MapD Core open-sourced under Apache 2.0 license
6. Tweetmap Most Popular OmniSci Demo https://www.omnisci.com/demos/tweetmap/
8. OmniSci.jl: Standing on the Shoulders of Giants! https://omnisci.github.io/OmniSci.jl/latest/
9. Future Opportunities for Collaboration
10. Let’s Slay the Two-Language Problem!
11. Questions & Free Stuff
12. Randy Zwitch Senior Director of Developer Advocacy @randyzwitch randy.zwitch@omnisci.com /in/randyzwitch/ /randyzwitch