GPU-Accelerated Analytics with OmniSci

At Triangle Kubernetes and OpenShift Meetup at Durham, NC on Nov 8th, 2018

Transcript

1. GPU-Accelerated Analytics with OmniSci Triangle Kubernetes and OpenShift Meetup 2018, Durham NC Veda Shankar, OmniSci | November 8th, 2018
2. Veda Shankar Senior Developer Advocate , OmniSci Community veda.shankar@omnisci.com slides: https://speakerdeck.com/omnisci
3. © OmniSci 2018 Data Grows Faster Than CPU Processing Data Growth 40% per year CPU Processing Power 20% per year
4. © OmniSci 2018 GPU Processing Keeps Moore’s Law Alive
5. © OmniSci 2018 5 Core Density Makes a Huge Difference
6. © OmniSci 2018 6 Advanced Memory Management
7. The Fastest Software Designed for the Fastest Hardware HARNESS GPUs
8. © OmniSci 2018 8 OmniSci Innovations Powering Extreme Analytics 3-Tier Memory Caching Query Compilation In-Situ Rendering
9. © OmniSci 2018 9
10. DEMO : OmniSci Immerse
11. © MapD 2018 © MapD 2018 1 1 OmniSci Kubernetes Deployment
12. © OmniSci 2018 12 GPU Open Analytics Initiative (GOAI) Seamless data interchange framework in GPU memory
13. © OmniSci 2018 13 GPU Open Analytics Initiative (GOAI) Creating common data frameworks to accelerate data science on GPUs
14. © OmniSci 2018 14 OmniSci ML Lab : Docker Image https://github.com/mapd/mapd-ml-workshop
15. © OmniSci 2018 15 OmniSci ML Lab : Jupyter Notebooks https://github.com/mapd/mapd-ml-demo
16. © OmniSci 2018 Four Ways to Get Started GitHub repo OPEN SOURCE Website download COMMUNITY OmniSci as a service OMNISCI CLOUD Contact sales ENTERPRISE 16 Ask questions and share your experiences @ https://community.omnisci.com
17. THANK YOU Questions, comments? veda.shankar@omnisci.com @veda_shankar