July 9th, 2013

Building A TB-Scale Math Platform @ Uberconf 2013, Denver

RSS icon RSS Category: Uncategorized [EN]
Fallback Featured Image


Building A TB-Scale Math Platform
Datasets have gotten to PB-scale, but the modeling you can do has been limited to a single-node (e.g. R, SAS) or stuck inside the database or takes hours on Hadoop-like technologies. We have built a simple clustering package, and are using it to do distributed analytics on the sum of all ram in a cluster.

This talk focuses on how the clustering technology, plus a Java-based vector math API, is being used to build full algorithms like GLM/GLMNET, Random Forest and K-means. These algorithms are complex multi-pass programs and traditional distributed programming models expose the distributed boundaries making the algorithms hard to reason about. We have a basic JDK for doing at-scale math, we can run most Plain Olde Java in (distributed) inner loops, communicate via a K/V store with exact Java Memory Model consistency (not lazy consistency). Adding more cpus makes these algorithms run faster, and adding more ram allows larger datasets. We are bringing back Moore’s Law!
Cliff will be presenting.

Leave a Reply

+
H2O Wave joins Hacktoberfest

It’s that time of the year again. A great initiative by DigitalOcean called Hacktoberfest that aims to bring

September 29, 2022 - by Martin Turoci
+
Three Keys to Ethical Artificial Intelligence in Your Organization

There’s certainly been no shortage of examples of AI gone bad over the past few

September 23, 2022 - by H2O.ai Team
+
Using GraphQL, HTTPX, and asyncio in H2O Wave

Today, I would like to cover the most basic use case for H2O Wave, which is

September 21, 2022 - by Martin Turoci
+
머신러닝 자동화 솔루션 H2O Driveless AI를 이용한 뇌에서의 성차 예측

Predicting Gender Differences in the Brain Using Machine Learning Automation Solution H2O Driverless AI 아동기 뇌인지

August 29, 2022 - by H2O.ai Team
+
Make with H2O.ai Recap: Validation Scheme Best Practices

Data Scientist and Kaggle Grandmaster, Dmitry Gordeev, presented at the Make with H2O.ai session on

August 23, 2022 - by Blair Averett
+
Integrating VSCode editor into H2O Wave

Let’s have a look at how to provide our users with a truly amazing experience

August 18, 2022 - by Martin Turoci

Start Your Free Trial