Intel to work with DARPA on graph analytics
Intel to join US defence research agency on big data analytics project
Intel has been selected to join the US defence research organisation DARPA, to collaborate on developing AI and machine learning to manage big data.
Intel will work with DARPA, a US Department of Defense agency as part of the DARPA HIVE program, to develop ‘graph analytics', a form of big data analytics which allows analysis of ‘many to many' relationships in massive data sets.
With the enormous growth in data, researchers are seeking ways to analyse more complex sets of data in a more efficient manner. DARPA's Microsystems Technology Office created the Hierarchical Identify Verify & Exploit (HIVE) program to develop new technologies to realize 1,000x performance-per-watt gains in the ability to handle graph analytics.
Unlike traditional analytics that are tools to study ‘one to one' or ‘one to many' relationships, graph analytics can use algorithms to construct and process the world's data organised in a ‘many to many' relationship - moving from immediate connections to multiple layers of indirect relationships. While some graphs are small and easy to visualize - such as a family tree - many graphs are vast and constantly changing, and they represent significant complex semantics - such as the evolving search list of every user on the planet for Amazon sales or Apple iTunes.
Intel's Data Center Group (DCG), Platform Engineering Group (PEG) and Intel Labs will work as one of the hardware architecture research performers for DARPA HIVE, with a joint research program between Intel and DARPA valued at more than $100 million during a four and a half-year effort.
"By mid-2021, the goal of HIVE is to provide a 16-node demonstration platform showcasing 1,000x performance-per-watt improvement over today's best-in-class hardware and software for graph analytics workloads," said Dhiraj Mallick, vice president of the Data Center Group and general manager of the Innovation Pathfinding and Architecture Group at Intel. "Intel's interest and focus in the area may lead to earlier commercial products featuring components of this pathfinding technology much sooner."