Apologies to our readers but the TechEnablement blog is no longer actively updated. Please feel free to examine the older content until we find a way to revamp and revitalize our site. … [Read more...]
Third-Party Use Cases Illustrate the Success of CPU-based Visualization
John Stone (Research Staff, The Beckman Institute) points out that improvements in the AVX-512 instruction set in the Intel Xeon Phi (and latest generation Intel Xeon processors) can deliver significant performance improvements for some time consuming molecular visualization kernels over most existing Intel Xeon CPUs. Based on his recent results using the Intel Xeon Phi … [Read more...]
NVIDIA GTC 2018 Shrewdly Incremental to Position NVDA Stock for Massive Growth
NVIDIA CEO Jensen Huang noted for the press at GTC 2018 that NVIDIA is now a platform company, not just a chip vendor. This message was clearly conveyed by the content of Jensen’s keynote that occupied two hours and spanned a number of topics from an NVlink hardware switch to the Xavier platform and self-driving cars. Succinctly, NVIDIA provided two new key hardware designs … [Read more...]
Face It: AI Gets Personal to Make You Look Better!
Sponsored Content Face it, a mobile AI-based hairstyle app, “is guaranteed to make you look your best” according to its creator Pallab Paul. Paul is an Intel student ambassador who presented his work at the 2017 Intel Developers conference in Denver, Colorado. The app has a very simple interface: all you have to do is provide some simple information about your hair, skin, and … [Read more...]
SURFsara Achieves Accuracy and Performance Breakthroughs for Both Deep Learning and Wide Network Training
Sponsored Content SURFsara posted the best accuracy and an under 40 minute training time on some popular deep learning architectures and data sets to establish new single-model state-of-the-art results using only general-purpose CPU-based hardware, as opposed to special accelerators. Specifically SURFsara reports under 40 minutes to train the ResNet50 model on the ImageNet-1k … [Read more...]
Intel Software Defined Visualization (SDVis) Appliance Delivers Efficient CPU-Based In Situ Visualization
This is a contributed editorial. All opinions are those of James Reinders. A New CPU-based Appliance Facilitates In Situ Visualization Intel’s software visualization efforts have resulted in exceptional performance using Embree and Intel CPUs over the last few years. Pressing its case on the role of CPUs for exascale data visualization further, Intel is … [Read more...]
NVIDIA GTC’17 announcements make them a complete ‘soup to nuts’ solution for specialized deep-learning applications
Amid a stronger-than-expected quarter (NVDA revenue $1.94B, datacenters sales of $409M), Jensen Huang (CEO/cofounder) Nvidia provided a comprehensive set of announcements during his GTC'17 keynote to position Nvidia for growth in the datacenter, cloud, embedded computing, plus IoT with low power domain level hardware (not a processor). Pre-emptive Intel Skylake comparative … [Read more...]
Oil and Gas Industry Progress Towards Faster, More Power Efficient Reservoir Simulation
Reservoir simulation is the single, most important calculation and Oil and Gas company can do. Attendees at the recent KAUST Global IT summit were told that armed guards are stationed inside the KAUST computer center when the ARAMCO simulation is running because the software is a state secret. The Oil and Gas Industry has been reporting heroic simulation sizes now range from … [Read more...]
Anaconda Machine Learning Platform comes to IBM Cognitive Systems plus the Open Power Machine Learning Workgroup Launches
IBM announced on April 17, 2017 that it will offer the Anaconda Open Data Science platform on IBM Cognitive Systems. "By adding Anaconda support, IBM continues to take an open, collaborative approach with like-minded tech companies pushing the limits of cognitive tech. Now Anaconda’s massive developer community have access to hardware that is tailor built to power the deep … [Read more...]
Accelerating Python and Deep Learning
Sponsored Content “For deep learning to have a meaningful impact and business value, the time to train a model must be reduced from weeks to hours,” observed Ananth Sankaranarayanan, Intel’s director of engineering, analytics and AI solutions. Demonstrating the performance benefits of Intel Xeon and Intel Xeon Phi hardware and new Intel Architecture (IA) optimized software … [Read more...]