MapGraph -- the GPU-accelerated graph engine -- has been rolled into Blazegraph 2.0, and it looks like this means OLTP and OLAP can be combined into a blazing-f

MapGraph -- the GPU-accelerated graph engine -- has been rolled into Blazegraph 2.0, and it looks like this means OLTP and OLAP can be combined into a blazing-fast, single OLXP system. From: https://www.blazegraph.com/product/gpu-accelerated/ https://www.blazegraph.com/product/gpu-accelerated/ The original work was funded by DARPA and presented at the 2014 SIGMOD conference in a paper entitled, MapGraph: A High Level API for Graphs [1]. This work is available in open source. Later work, in collaboration with the University of Utah SCI Institute [2] and funded by DARPA, applied multi-core techniques running on over 750 M cores on the Titan Supercomputer to extend this to Multi-GPU traversal with Breadth First Search (BFS). On a cluster of 64 NVIDIA K40 GPUs, it demonstrated a throughput of 32 Billion Traversed Edges Per Second (32 GTEPS), traversing a scale-free graph of 4.3 billion directed edges in 0.15 seconds, which was featured in a presentation IEEE Bigdata Conference. [1] https://www.blazegraph.com/whitepapers/MapGraph-SIGMOD-2014.pdf https://www.blazegraph.com/whitepapers/MapGraph-SIGMOD-2014.... [2] http://www.sci.utah.edu/publications/Fu2014a/UUSCI-2014-002.pdf http://www.sci.utah.edu/publications/Fu2014a/UUSCI-2014-002.... VIDEO: Blazegraph GPU and DASL at Super Computing 2015 (https://vimeo.com/148519808 https://vimeo.com/148519808) It's GPLv2 and now has support for SPARQL and TinkePop3/Gremlin. See https://groups.google.com/d/topic/gremlin-users/8fS_ak-tWNs/discussion https://groups.google.com/d/topic/gremlin-users/8fS_ak-tWNs/...