We’re going to be formally launching our GPU-based graph analytics acceleration products, Mapgraph™ Accelerator and Mapgraph™ HPC, at the NVIDIA GTC conference in San Jose the week of 16 March. We will also be competing as one of 12 finalists for NVIDIA’s early stage competition for a $100,000 prize. If you’re in the area, come to GTC on Wednesday, March 18 and vote for us!
Mapgraph™ Accelerator (Beta) serves as a single-GPU graph accelerator for Blazegraph™. We believe it will provide the world’s first and best platform for building graph applications with GPU-acceleration. It will bridge the gap between our Blazegraph™ database platform and the GPU acceleration for graph analytics. Users of the Blazegraph™ platform will be able to leverage GPU-accelerated graph analytics via a Java Native Interface (JNI) and via predicates in SPARQL query similarly to our current RDF GAS API, which provides Breadth-First Search (BFS), Single Source Shortest Path (SSSP), Connected Components (CC), and PageRank (PR) implementations.
Mapgraph™ HPC is a new and disruptive technology for organizations that need to process very large graphs in near-real time. It uses GPU clusters to deliver High Performance Computing (HPC) for your organization’s biggest and most time critical graph challenges.
- Up to 10,000X Faster for graph analytics than Hadoop technologies
- 10X Price-Performance advantage over supercomputer solutions
- Familiar Vertex-Centric Graph Programming Model
- Demonstrated performance of 32 Billion Traversed Edges Per Second (GTEPS) using 64 NVIDIA K40s on Scale-free Graphs
We are currently enrolling Beta customers for Mapgraph™ Accelerator and Mapgraph™ HPC. Chesapeake Technologies International has already accelerated a military planning application seeing computation times drop from minutes for a single-solution to seconds for the generation of multiple scenarios. We’re doing a session on it at GTC. Contact us if you’re interested finding out more.