Dive Deep into Accelerated Data Science at GTC

by Chase Hooley

The latest breakthroughs in data science are among the topic areas to be showcased this fall at the GPU Technology Conference, which will run continuously for five days, across seven time zones, from October 5-9.

Attend live events in the time zone that works best for you, or browse an extensive catalog of on-demand content showcasing innovative uses of data science technology. Participants can also receive training, insights and direct access to experts on the hottest topics in computing.

The following are some highlights of the data science sessions planned for event:

Accelerating Apache Spark 3.0 with RAPIDS – Dive into the RAPIDS Accelerator for Apache Spark, an open-source plugin that uses columnar data processing with RAPIDS to accelerate ETL processing on Apache Spark and GPUs without changes to the user’s query code.

Universal Scalable Custom Machine Learning Estimators – Join a discussion on how to write estimators that can scale from single-core to distributed cores and on NVIDIA GPUs, all while returning appropriate data structures for downstream dependencies.

Generating Ensemble-Based Adversarial Attacks And Defense Methods for Robust Online Fraud Detection – Hear an introduction to a cohort of domain-oriented adversarial attacks based on an ensemble of attack vector generation techniques designed to optimize for discovery of sparse perturbation spaces yielding decisive changes in fraud adjudication.

Accelerating data science with NVIDIA RAPIDS on AWS – Learn how, by using the RAPIDS suite of open source software libraries and APIs, data scientists can execute end-to-end data science and analytics pipelines entirely on GPUs, allowing organizations to deliver results faster than ever.

Google Cloud Dataproc with GPUs Improves Latency and Reduces Costs for Select Spark Workloads – Join a discussion on how Dataproc and NVIDIA GPUs support Spark workloads using RAPIDS Accelerator for Apache Spark, an open-source plugin that leverages columnar data processing with RAPIDS to accelerate ETL processing without changes to the user’s query code.

The Summit Supercomputer as a Virtual Drug Discovery Laboratory for COVID-19 – Learn about an end-to-end in silico structure and cheminformatics-based drug discovery pipeline for the screening of 2 billion drug candidates on the Summit supercomputer.

Register for GTC today.