Tag: graph analytics
When it comes to sports statistics, there’s no richer source of historical data than baseball. With over 140 years of detailed information on individual players, teams, and winning trends, the addition of digital data is powering even deeper analytical capability to help fans and team owners make decisions. Baseball data, over 95% of which has Read more…
During a conversation this week with Cray CEO, Peter Ungaro, we learned that the company has managed to extend its reach into the enterprise HPC market quite dramatically–at least in supercomputing business terms. With steady growth into these markets, however, the focus on hardware versus the software side of certain problems for such users is….
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Convey_boards.jpg” alt=”” width=”98″ height=”85″ />Last week at SC12 in Salt Lake Convey pulled the lid off its MX big data-driven architecture designed to shine against graph analytics problems, which were at the heart of the show’s unmistakable data-intensive computing thrust this year. The new MX line is designed to exploit massive degrees of parallelism while efficiently handling hard-to-partition big data applications.