Node-RAPIDS is an open-source, technical preview of modular RAPIDS’ library bindings in Node.js, as well as, complementary methods for enabling high-performance, browser-based visualizations.
What’s the problem with web viz?
As for the RAPIDS Viz team, ever since our first proof of concept, we’ve wanted to build tools that can more seamlessly interact with hundreds of millions of data points in real-time through our browsers – and we finally have a way.
Here is a snippet of node-RAPIDS in action based on our basic notebook, which shows a 6x speedup for a small regex example:
Node-RAPIDS: designed as building blocks
Similar to node projects, Node-RAPIDS is designed to be modular. Our aim is not to build turnkey web applications, but to create an inventory of functionality that enables or accelerates a wide variety of use cases and pipelines. The preceding is an overview of the current and planned Node-RAPIDS modules grouped in general categories. A Node-RAPIDS application can use as many or as few of the modules as needed.
To make starting out less daunting, we are also building a catalog of demos that can serve as templates for generalized applications. As we develop more bindings, we will create more demos to showcase their capabilities.
The preceding is an idealized stack of a geospatial cross filter dashboard application using RAPIDS cuDF and RAPIDS cuSpatial libraries. We have a simple demo using Deck.gl that you can preview with our video and explore demo code on Github.
The last example preceding is a server-side only ETL pipeline without any visualization. We have an example of a straightforward ETL process using cuDF bindings and the nteract notebook desktop application, which you can preview with our video and nteract with (get it) on our Notebook.
What is next?
While we have been thinking about this project for a while, we are just getting started in development. RAPIDS is an incredible framework, and we want to bring it to more people and more applications – RAPIDS everywhere as we say.
Near-term next steps:
- Some short-term next steps are to continue building core RAPIDS binding features, which you can check out on our current binding coverage table.
- If the idea of GPU accelerated SQL queries straight from your web app sounds interesting (it does to us), we hope to get started on some blazingSQL bindings soon too.
- And most noteworthy, we plan to start creating and publishing modular docker containers, which will dramatically simplify the current from-source tech preview installation process.
As always, we need community engagement to help guide us. If you have feature requests, questions, or use cases, you can reach out to us!
This project has numerous potentials. It can accelerate a wide variety of Node.js applications, as well as bring first-class, high-performance data science and visualization tools to a huge community. We hope you join us at the beginning of this exciting project.
- Node-RAPIDS GitHub repo: https://github.com/rapidsai/node-rapids
- Recent Presentation from GTC 2021: https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s31955/