Register here to view a recent Dec. 11, 2014 IEEE webinar on OpenACC by Michael Wolf, a compiler engineer at PGI, who presents the latest PGI support for C++ features and will look at the roadmap for more complete PGI OpenACC support in the future. Michael will also show some significant performance enhancements that should impact all OpenACC programmers. He closes with a short … [Read more...]
Register for TACC Webcast Teaching Parallel R Using Intel Xeon Phi
Register to learn about using R - and Intel Xeon Phi accelerated R - in your HPC applications via this TACC webcast. For more information about accelerated R see the pdf of the TACC presentation, "High-Performance R". This workshop will introduce participants to data intensive computing using R on Stampede. Prior experience with R is necessary in order to benefit from the … [Read more...]
TACC Accepting Summer Internship Applications
TACC is now accepting applications for the 2015 Research Experience for Undergraduates (REU) from June 1 to August 1, 2015. This summer, 10 undergraduate students from across the United States majoring in science and engineering will be immersed in training at UT Austin to become the next generation of ‘game changers.' Participants will explore grand challenges including … [Read more...]
Unlike Oculus – Microsoft HoloLens Lets You Move
By itself, the 3D Microsoft HoloLens is interesting, but the big news is that the device is real-world - you can wear it while standing and walking around! http://youtu.be/aThCr0PsyuA?t=1m40s In comparison, Oculus Rift DK2 is still a closed-world, not-recommended-to-move visor. https://www.youtube.com/watch?v=0Ignn19Ajvs See our summary visor review for more … [Read more...]
Jeremy Howard – A Deep-Learning Education and Why It Can Take Your Job
An excellent TED.com talk by Jeremy Howard teaches how deep-learning can let computers see, hear, and comprehend sentences with human accuracy. He then looks ahead to the implications to jobs in the developed world. http://www.ted.com/talks/jeremy_howard_the_wonderful_and_terrifying_implications_of_computers_that_can_learn … [Read more...]
Intel’s $2.1B 2014 Revenue Shows Internet of Things is Here to Stay
IoT (Internet of Things) is here to stay as demonstrated by Intel's $2.1B revenue from IoT reported in the latest 2014 earnings report. IoT is characterized by a diversity of sensors, wireless radios, and truly miniature processors that enhance what devices around us can sense and do. For example, TechEnablement wrote about the new Curie module, which fits a sensor hub, a Quark … [Read more...]
Facebook Open-Sources Torch for Deep-Learning Neural Networks
Facebook has made Torch, an open source development environment for numerics, machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets available to everyone. The latest release includes GPU-optimized modules for large convolutional nets (ConvNets), as well as networks with sparse activations that are commonly used in Natural … [Read more...]
Kriging Interpolation Exhibits Strong Scaling Across GPUs
Geostatistical interpolation (Kriging) can be useful in a great number of applications where high fidelity models are required for mapping spatial effects and making predictions based on observations. It is widely utilized in the domain of spatial analysis and computer experiments and heavily used by the US Air Force and GIS services. The following images by Yang, et. al. … [Read more...]
Biadu Small NVIDIA-Powered Cluster for ‘Most Accurate’ Near Human ImageNet Recognition Results
Baidu Research utilized a small 36-node NVIDIA-powered cluster to attain the best computer vision ImageNet classification result to date with a 5.98% error vs. GoogleNet's 6.66%. These results are very close to the human error rate of 5.1%. Key to the Baidu performance is their mix of model- and data-parallelism as well as the use of higher-resolution images (512x512 vs … [Read more...]
Move Over Skype – Google Adds Multi-Language Voice Plus Text-In-Image Translation
The free Google Translate app now incorporates spoken voice translation for 38 languages plus text-in-image translation. The text-in-image translation runs locally on the phone, which is ideal as it works everywhere, while the voice recognition-and-translation requires a connection to the Google servers. In a rough real-world test, this first release appears to work quite well … [Read more...]