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...]
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...]
OpenACC Adoption Continues to Gain Momentum in 2016
Multiple Onsite Events at SC16 in Salt Lake City to Showcase Recent Advances BEND, OREGON– NOVEMBER 7, 2016 – The OpenACC standards group today announced several major milestones including the addition of new member, the National Supercomputing Center in Wuxi, the adoption of OpenACC by several major HPC applications, the addition of support for new target platforms and … [Read more...]
Intel Xeon Phi Optimization Part 1 of 3: Multi-Threading and Parallel Reduction
This tutorial begins a 3-part series of educational publications on performance optimization in applications for Intel Xeon Phi coprocessors. In this publication, Ryo Asai (a Researcher at Colfax International) and Andrey Vladimirov (Head of HPC Research at Colfax International) will focus on some aspects of thread parallelism implementation in the OpenMP … [Read more...]
DARPA Cyber Fault-tolerant Attack Recovery (CFAR) Due Nov 15, 2014
Full proposal due November 15, 2014, the DARPA program to develop "fault tolerant" networks which quickly detect and recover from cyber attacks. Multiple awards are available for TA-1, which is concerned with binary transformation of executables so that they perform the same function, but no longer exhibit the same susceptibility to cyber attack. In addition single awards are … [Read more...]
PyFR: A GPU-Accelerated Next-Generation Computational Fluid Dynamics Python Framework
PyFR is an open-source 5,000 line Python based framework for solving fluid-flow problems that can exploit many-core computing hardware such as GPUs! Computational simulation of fluid flow, often referred to as Computational Fluid Dynamics (CFD), plays an critical role in the aerodynamic design of numerous complex systems, including aircraft, F1 racing cars, and wind turbines. … [Read more...]