| dc.date.accessioned | 2020-10-19T18:57:33Z | |
| dc.date.available | 2020-10-19T18:57:33Z | |
| dc.date.issued | 2018-02-09 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/128116 | |
| dc.description.abstract | By analyzing graphs using specialized algorithms, complex relationships and deeper insight can be extracted from the raw information. In the last several years, the Laboratory has developed the Graph Processor, which has a unique hardware architecture that provides 100 to 1000 times better processing performance for analyzing large graph datasets. The Data Science and Technology Research Environment (DataSToRM) program is developing a software environment and algorithms to take advantage of the Graph Processor’s capabilities. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | MIT Lincoln Laboratory | en_US |
| dc.relation.ispartofseries | The Bulletin; | |
| dc.rights | Attribution-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | * |
| dc.subject | Lincoln Laboratory | en_US |
| dc.subject | Supercomputing | en_US |
| dc.subject | LLSC | en_US |
| dc.subject | Information Sciences | en_US |
| dc.title | DataSToRM: Data Science and Technology Research Environment | en_US |
| dc.type | Article | en_US |
