YarcData Announces Six Finalists for the $100,000 Graph Analytics Challenge

Mon Dec 3, 2012 7:00am EST

* Reuters is not responsible for the content in this press release.

  PLEASANTON, CA, Dec 03 (Marketwire) -- 
YarcData, a Cray (NASDAQ: CRAY) company dedicated to providing "Big Data"
graph-analytic solutions to enterprise customers, today announced the six
finalists for the YarcData Graph Analytics Challenge. The top six entries
for the contest, which features $100,000 in prizes including a $70,000
grand prize for the first place winner, were determined to have entered
the best submissions for un-partitionable, Big Data graph problems.

    The top six submissions span a number of diverse categories, such as
healthcare, law enforcement, sports, life sciences and social media. The
six finalists for the $100,000 Graph Analytics Challenge have submitted
entries that will attempt to:


--  Model mortality in the 30 days following a heart attack so that
    patients at particular risk can be identified for special attention
    (Dr. Abraham Flaxman);
--  Predict future crime based on structural, institutional, and
    demographic make-up of neighborhoods where crime occurs (Erik
    Celentano, Dr. Gary Shiffman, Dr. Danielle Sandler);
--  Research more than 25 different types of cancers and thousands of
    patients to gain insight into the biological networks that are
    disrupted or altered within a given cancer type (Dr. Brady Bernard,
    Dr. Ilya Shmulevich, Andrea Eakin);
--  Investigate causes of autism by understanding clusters of precursors
    (Dr. Adam Lugowski, Dr. John Gilbert, Dr. Kevin Deweese);
--  Analyze pitcher-batter outcome data in baseball to determine if there
    is a relationship between a hitter's performance against varying
    quality levels of pitching (Vince Genarro);
--  Conduct large-scale social network analysis to determine the impact of
    team behavior/collaboration by using gaming data (Dominic DiFranzo,
    Bassem Makmi, Qingpeng Zhang).

    

Over the coming weeks, the six finalists will run their queries on
YarcData's uRiKA graph-analytics appliance. A panel of judges made up of
Big Data industry analysts, experts on semantic technology, and YarcData
customers will then evaluate the results of these top six submissions.
The winning entries will then be chosen based on a set of criteria that
includes the business and/or human impact, complexity, scalability and
performance, and innovation. Winners will be announced in a live web
event in February 2013.

    "The quality and diversity of the many entries we received as part of the
Graph Analytics Challenge is very exciting to us," said Arvind
Parthasarathi, president of YarcData. "This contest is about increasing
awareness and interest in graph analytics, and it is encouraging to see
that the Big Data community is embracing new ways to apply graph
analytics towards solving complex problems with incredibly large data
sets. We are very pleased with the response to this contest, and YarcData
will continue to promote and support the use of graph analytics for the
discovery of unknown relationships or patterns in Big Data. Thank you to
everyone that entered the contest and good luck to the six finalists."

    YarcData is holding the Graph Analytics Challenge to showcase the
increasing applicability and adoption of graph analytics in solving Big
Data problems. The contest is also intended to promote the use and
development of RDF and SPARQL (both standards developed by the World Wide
Web Consortium) as the industry standard for graph analytics. The grand
prize for the first place winner is $70,000. The second place winner will
receive $13,000 and the third place winner will receive $8,000. There
will also be prizes for the other finalists.

    For more information on the contest, please visit:
http://yarcdata.com/graph-analytic-challenge.html.

    About the uRiKA Graph-Analytics Appliance
 YarcData's uRiKA system is a
Big Data appliance for graph analytics that enables enterprises to
discover unknown relationships in Big Data. The uRiKA system is a highly
scalable, real-time platform that supports ad hoc queries, pattern-based
searches, inferencing and deduction. Singularly focused on graph
analytics, uRiKA augments existing analytical environments by delivering
new high-value discoveries and insights that drive competitive advantage.

    About YarcData 
 YarcData, a Cray company, delivers business-focused
real-time graph analytics for enterprises to gain business insight by
discovering unknown relationships in Big Data. Early adopters include the
Canadian government, Institute for Systems Biology, Mayo Clinic, Noblis,
Sandia National Laboratories, and the United States government. YarcData
is based in the San Francisco bay area and more information is at
www.yarcdata.com.

    About Cray Inc.
 As a global leader in supercomputing, Cray provides
highly advanced supercomputers and world-class services and support to
government, industry and academia. Cray technology is designed to enable
scientists and engineers to achieve remarkable breakthroughs by
accelerating performance, improving efficiency and extending the
capabilities of their most demanding applications. Cray's Adaptive
Supercomputing vision is focused on delivering innovative next-generation
products that integrate diverse processing technologies into a unified
architecture, allowing customers to surpass today's limitations and
meeting the market's continued demand for realized performance. Go to
www.cray.com for more information.

    Cray is a registered trademark of Cray Inc. in the United States and
other countries, and YarcData and uRiKA are trademarks of Cray Inc. Other
product and service names mentioned herein are the trademarks of their
respective owners.

    

YarcData Media:
Nick Davis
206/701-2123
pr@YarcData.com

Cray Investors:
Paul Hiemstra
206/701-2044
ir@cray.com 

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