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GPU-Accelerated Analytics with OmniSci
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OmniSci
November 08, 2018
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GPU-Accelerated Analytics with OmniSci
At Triangle Kubernetes and OpenShift Meetup at Durham, NC on Nov 8th, 2018
OmniSci
November 08, 2018
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Transcript
GPU-Accelerated Analytics with OmniSci Triangle Kubernetes and OpenShift Meetup 2018,
Durham NC Veda Shankar, OmniSci | November 8th, 2018
Veda Shankar Senior Developer Advocate , OmniSci Community
[email protected]
slides:
https://speakerdeck.com/omnisci
© OmniSci 2018 Data Grows Faster Than CPU Processing Data
Growth 40% per year CPU Processing Power 20% per year
© OmniSci 2018 GPU Processing Keeps Moore’s Law Alive
© OmniSci 2018 5 Core Density Makes a Huge Difference
© OmniSci 2018 6 Advanced Memory Management
The Fastest Software Designed for the Fastest Hardware HARNESS GPUs
© OmniSci 2018 8 OmniSci Innovations Powering Extreme Analytics 3-Tier
Memory Caching Query Compilation In-Situ Rendering
© OmniSci 2018 9
DEMO : OmniSci Immerse
© MapD 2018 © MapD 2018 1 1 OmniSci Kubernetes
Deployment
© OmniSci 2018 12 GPU Open Analytics Initiative (GOAI) Seamless
data interchange framework in GPU memory
© OmniSci 2018 13 GPU Open Analytics Initiative (GOAI) Creating
common data frameworks to accelerate data science on GPUs
© OmniSci 2018 14 OmniSci ML Lab : Docker Image
https://github.com/mapd/mapd-ml-workshop
© OmniSci 2018 15 OmniSci ML Lab : Jupyter Notebooks
https://github.com/mapd/mapd-ml-demo
© 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
THANK YOU Questions, comments?
[email protected]
@veda_shankar
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