8-year-old boy with cancer plays against the Portland Timbers in front of 3,000 fans and wins
By Brooks Peck | Dirty Tackle Wed, May 1, 2013 6:24 PM EDT
The Portland Timbers played against a team of eight-year-olds on Wednesday and lost 10-9. The match, played in one end of the Timbers' JELD-WEN Field, was organized by the Make-A-Wish Foundation on behalf of Atticus Lane-Dupre, who scored four goals in the match, including the winner. Atticus learned he had cancer last fall when he started to feel pain while playing the game he loves.
Atticus' team, the Green Machine, played against Timbers players like Darlington Nagbe, Will Johnson, Jack Jewsbury and Mikael Silvestre. Atticus had his own locker in the Timbers' dressing room and to make the day even more special, 3,000 Timbers fans showed up to cheer him on and create the fantastic atmosphere that Timbers matches are known for. Songs were sung, flags were waved and green smoke rose from the stands. Here's a view from the seats...
More here: http://sports.yahoo.com/blogs/soccer-dirty-tackle/8-old-boy-cancer-plays-against-portland-timbers-222426346.html
Category: Help Conquer Cancer Tags: Events & Milestones , Project Update
Summary We are excited to announce the release of GPU processing capability for the Help Conquer Cancer project!
This capability allows our members to contribute using their machines' graphics cards, thus giving our community of volunteers another avenue to advance the Help Conquer Cancer research project.
Earlier this year, the Help Conquer Cancer researchers published a paper explaining the reimplementation of their algorithms to take advantage of high-performing GPU hardware. You may review an abstract of the paper and access it here
In addition, you may learn more about GPU processing by reviewing WCG FAQ's FAQs and by visiting our GPU Forum.
Summary The Help Conquer Cancer (HCC) project researchers have published a paper describing their efforts in re-implementing their algorithms to take advantage of Graphics Processing Unit (GPU) hardware present in many of today's computer's. If the algorithms lend themselves to use a GPU implementation, this can dramatically increase their performance.
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