MEMCON Enterprise Knowledge Graphs: Pushing the Envelope of Memory Bandwidth
Enterprise knowledge graphs (EKGs) offer the ability to store large connected datasets in memory for fast traversal using simple pointer-hopping instructions. However, keeping hundreds or thousands of cores feed with traversal data has become one of the key challenges for artificial intelligence and analytics.
Despite the exponential growth in graphs databases, we have yet to see hardware tuned to graph analytics workloads. In this session we will review the requirements for EKGs and provide a roadmap of how new memory hardware can be used to solve EKG challenges.