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Okay, we've gone over all the submissions for our first Winter Photo Contest and debated at length over our favorites. And, we've finally come to a consensus, which will introduce our second, second-time contest winner: ZZ3D.   First Prize: Snow Fight   ZZ3D's a long-time contributor to 3DVisionLive and has shared some amazing work with us. Snow Fight is certainly no exception! We felt this image captured the essence of the contest's Winter theme very well, and...
The votes have all been cast and we can now, finally, bring you the results of our First Annual Summer Photo Contest. Dozen's of excellent images were submitted and it was a challenge to whittle all the entries down and select the prize winners. Without further ado we get to the results - drumroll please!   First Prize: "Soap Bubble" Zoran Zelic (ZZ3D)'s "Soap Bubble 1" takes the top prize. We like the spontaneity the image implies along with the overall composition...
Sometimes it’s just great “when a plan comes together.” An avid warbird photographer, I’d been familiar with Christian Kieffer’s outstanding pinup photography for years – his company produces some truly amazing nostalgic calendars featuring vintage WWII aircraft and models done up to mimic the pinups from the same era that helped to keep many an airman’s spirits high. Thinking the subject matter would lend itself well to 3D, I approached Christian a few months ago about...
The 2004 release of id Software’s Doom 3 spurred many PC gamers to upgrade their rigs – with many building completely new machines with the sole intent of driving this game at its ultimate eye-candy settings. And many gamers still came up a bit short, which is just one reason why they are looking forward to jumping into the corridor-crawling fray again with the release of Doom 3 BFG Edition.Silverlight.createObject("http://d2q1944p6r21t1.cloudfront.net/files/...
We’ve rolled out a new look for the Photo page that updates the page to have a similar look and feel to the home and video pages. We’ve added a pane of larger thumbnails across the top that is user-navigable. Just click the right or left arrows to cycle. (We will be adding an auto-scroll mechanism to this soon.) And these are viewable in 3D - just click the 2D/3D toggle button at the top right of the page. Make sure to upgrade to the most recent drivers for best performance...

Recent Blog Entries

For the fourth consecutive year, our Tesla Accelerated Computing Platform helped set new milestones in the Asia Student Supercomputer Challenge, the world’s largest supercomputer competition.

Each year, the brightest minds from universities around the world compete to find out who can build the fastest, most efficient supercomputer.

At ASC16, GPUs once again powered the winning team, and helped another break the performance record on an industry-standard supercomputing benchmark.

Huazhong University of Science and Technology Earns Top Spot

Some 175 teams from universities in North America, South America, Africa, Asia, Europe and Oceania participated in ASC16. Of these, 16 advanced to the final round held last week at Huazhong University of Science and Technology in Wuhan, China.

Armed with their custom-built systems, finalists competed on six different supercomputing application benchmarks within a 3,000W system power limit.

The benchmarks included the surface wave numerical model, MASNUM; the material simulation software, ABINIT; the High Performance Conjugate Gradients benchmark; and ABySS, a de novo, parallel sequence assembler. Teams also had to train a deep neural network for speech recognition.

The final test was LINPACK, the industry benchmark used to measure the performance of the world’s most powerful supercomputers, like the Titan system at Oak Ridge National Laboratory.

Thanks to our Tesla K80 GPU accelerators, Huazhong University beat out the field of competitors, grabbing the highest overall score.

The victorious team from the Huazhong University of Science and Technology. Zhejiang University Breaks LINPACK Record

The team from Zhejiang University used a system with eight NVIDIA Tesla K80 GPUs to establish a new record on LINPACK.

Clocking in at a remarkable 12.03 teraflops – 12 trillion floating-point operations per second – Zhejiang’s system overturned the previous record of 11.92 teraflops.

Nanyang Technological University achieved that record at ASC15. Sun Yat-sen University set a record of 9.27 teraflops using Tesla K40 GPUs at ASC14.

NVIDIA GPUs continue to help computer scientists, researchers and engineers around the world tackle massive computational challenges. Through competitions like ASC, they’re preparing new generations of experts to address tomorrow’s toughest problems.

The post GPU-Powered Systems Take Top Spot, Set New Record in Student Supercomputer Competition appeared first on The Official NVIDIA Blog.

Marc Gyongyosi isn’t your average college student. The junior computer science major at Northwestern University’s McCormick School of Engineering has thrown himself into the world of lightweight robotics in a way that reaches far beyond the classroom.

Not only has Gyongyosi spent the past two years working with BMW’s robotics research department on developing robotic systems to help factory workers, he’s also involved in two startups. One of those, MDAR Technologies, is working on 3D vision systems for autonomous vehicles.

But it’s his work with the second company, IFM Technologies, which he founded, that landed him on a stage at our annual GPU Technology Conference.

IFM has been working on an autonomous drone that can be reliably operated indoors. Most drones today only fly outdoors because a) they’re too large and clunky to be safely flown indoors, and b) the GPS systems they rely on don’t work indoors. Further complicating the market for outdoor drones is the fact that the FAA must approve them for flight. That’s not the case with indoor drones.

Gyongyosi looked at that convergence of facts and determined that there’s a huge potential market for a commercially available indoor drone. He told GTC attendees that he estimates there are multi-billion-dollar opportunities in areas such as warehouse analytics, utility analysis, insurance inspections, and commercial real estate and construction.

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And make no mistake, he’s not in this just to identify those opportunities; he wants to seize them. “We don’t want to just be a research project,” Gyongyosi said during his talk. “We want to be something that goes from problem to solution.”

His solution, however, has presented technical challenges. To start with, he’s had to find an alternative to the GPS built into outdoor drones. He said others have tried motion capture or radio beacons as GPS substitutes, but because he’s trying to keep IFM’s drone small and light, he didn’t want the extra weight. That, plus those options tend to be expensive and need constant calibration.

Similarly, other drones rely on onboard sensors to detect physical objects around them to avoid collision. But that also has presented a major space challenge on IFM’s small drone, as the amount of data that has to be processed is enormous.

“The processing power you need onboard is large,” he said. “That’s why these platforms are very large.”

To combat these issues, Gyongyosi did two things: First, he opted to mount a single camera on the IFM, sacrificing stereoscopic vision but preserving space and keeping the weight down. Then, he choose to incorporate feature tracking that operates somewhat like sensors, but instead uses the data from the camera.

When the performance of that configuration came up short of his expectations, he turned to the GPU, specifically the NVIDIA Jetson Tegra K1, which is now part of the vehicle’s physical design.

The results speak for themselves. GPUs are processing the data nearly four times as fast as a CPU. Plus, the feature-tracking rate nearly doubled, from 5.5 Hz to 9.8 Hz. And if that’s not enough, it also improved accuracy and created enough spare space that Gyongyosi was able to add a second camera, which is mounted at a 45-degree angle to the first, trading stereoscopic sight for a larger field of vision.

To further illustrate the potential impact of IFM’s design, Gyongyosi pointed to the colossal failure that is Berlin’s long-planned futuristic airport, a project that was supposed to open years ago but remains non-operational after design flaws were found in the fire detection system during inspection.

Gyongyosi believes indoor drones could have prevented the fiasco by detecting the issue long before inspection, and he hopes IFM’s drones will be performing such tasks soon.

 

The post Inside Job: Student Turns to GPUs to Create Drones for the Great Indoors appeared first on The Official NVIDIA Blog.