Event Details
What happens when you run out of processing power on your laptop? You could scale up - get more efficient hardware, or scale out - add more machines. Whichever you choose, there are great tools for accomplishing scale within the Python data science ecosystem. Dask is a parallel computing framework that scales from your laptop to a cluster of thousands of machines. RAPIDS is a GPU-computing framework that pushes traditional CPU workloads to the GPU. Dask and RAPIDS together allow you to accelerate your code in clusters of GPU machines. This talk will help you navigate this exciting new world, and show what it takes to convert “traditional” single-node Python workflows to execute in parallel and GPU-accelerated environments. We will also discuss ways to get the hardware to run these tools in the cloud and some considerations for infrastructure and management.
- Tuesday — September 29, 2020
5:00PM - 6:00PM - Virtual
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The Organizer
Research Methods and Data Science Meetup
This Research Methods and Data Science (RMDS) meetup group is devoted to make big data & AI useful, and to promote big data technologies. It is a meet-up group bringing together people from research methodology, data science, data professional services, AI and computing in the greater Los Angeles area.
The focus of the group is about utilizing big data & AI technologies to improve data analytics & research for social good, and to promote research methods and data science innovation. On a regular base, we run workshops on big data analytics that can be applied to model and visualize open data and other complicated big data sets. Also, we will organize special meetings to discuss special data science projects, as well as data science automation and augmentation.