Technical Walkthrough 0 Apr 23, 2021

Similarity in Graphs: Jaccard Versus the Overlap Coefficient

There is a wide range of graph applications and algorithms that I hope to discuss through this series of blog posts, all with a bias toward what is in RAPIDS… 12 MIN READ
Technical Walkthrough 0 Sep 26, 2016

The Intersection of Large-Scale Graph Analytics and Deep Learning

Suppose you want to find the most influential user of Twitter. You would need to know not only how many followers everyone has, but also who those followers are… 14 MIN READ
Technical Walkthrough 0 May 12, 2016

Fast Spectral Graph Partitioning on GPUs

Graphs are mathematical structures used to model many types of relationships and processes in physical, biological, social and information systems. 15 MIN READ
Technical Walkthrough 0 Apr 05, 2016

CUDA 8 Features Revealed

Today I'm excited to announce the general availability of CUDA 8, the latest update to NVIDIA's powerful parallel computing platform and programming model. 19 MIN READ
Figure 1: Graph algorithms exhibit non-locality and data-dependent parallelism. Large graphs, such as this map of the internet, represent billion-edge challenges that push the bandwidth limits of existing hardware architectures.
Technical Walkthrough 0 Mar 21, 2016

What to Do with All That Bandwidth? GPUs for Graph and Predictive Analytics

BlazeGraph exploits the bandwidth advantages of GPUs to accelerate large-scale graph and predictive analytics, integrated with Apache Spark and SPARQL. 14 MIN READ