Kaggle.com is listing a deep-learning competition sponsored by the California Healthcare Foundation to achieve the best accuracy identifying diabetic retinopathy (DR) from retinal images provided by EyePACS, a free platform for retinopathy screening. The goal of this competition is to push an automated detection system to the limit of what is possible – ideally resulting in … [Read more...]
Intel RealSense – First Impressions, Market View, and Path to Market
TechEnablement recently spoke with David Wiltz, product manager of Intel Software and Services Group, about the early release RealSense 3D camera and SDK that we tested. Intel is currently providing early access to the RealSense developer kit that contains a 3D camera and associated SDK for software development. Devices with integrated Intel® RealSense™ 3D Cameras are shipping … [Read more...]
GTC 2015 GPU Computing Videos and Slides Now Available Online
NVIDIA has released the pdf slides and session video recordings from GTC 2015 at http://www.gputechconf.com/attend/sessions. The sessions covered a diverse range of topics: Astronomy & Astrophysics Augmented & Virtual Reality Automotive Big Data Analytics Computational Physics Computer Vision Cloud Computing & HPC Developer – … [Read more...]
MSI Laptops for Live Event Production And Virtual Reality Development
TechEnablement spoke with Clifford Chun and Mark Lee from MSI about the 4k display refresh of the WS60 MSI thin-and-light mobile workstation with the latest WS60 2OJ 4K edition. In particular, Chun (the North America Region Product Manager for Notebooks and Tablets) noted that "many people are using these products for virtual reality." The 4k display is a boon for customers … [Read more...]
X1 Support Added to the Tegra Android Development Pack
The Tegra Android Development Pack 4.0R1 has been released with support for the NVIDIA SHIELD Powered by Tegra X1. It supports theTegra® X1 NVIDIA® SHIELD™ running Google Android TV operating system. Download here if you are a registered developer. This release includes: • Latest Android SDK (24.0.2) and NDK (r10d) for both 32 and 64 bit devices • NVIDIA Android … [Read more...]
PGI Compiled OpenACC ILP Loop Beats CUDA-7 by 200 GF/s on Deep-learning PCA Example
The PGI OpenACC compiler beat the performance of a CUDA 7.0 NVIDIA nvcc compiled deep-learning based PCA (Principal Components Analysis) example by 200 GF/s on a K40c using an ILP (Instruction Level Parallelism) loop structure taught in the TechEnablement classes and forthcoming Farber OpenACC book. PCA is an important data analysis tool utilized by data scientists. Sign up for … [Read more...]
GCC5 Release Candidate in Early April With OpenACC, Cilk, and OpenMP4 Offload!
Richard Biener posted a message to gcc.gnu.org to expect a GCC 5 release candidate the first week of April. GCC5 supports OpenACC, Cilk Plus, and OpenMP 4.0 offload support. "We've come a long way towards the release criteria of zero P1 bugs. There are still a few remaining P1s though and we are targeting for a GCC 5 release candidate in the first week of April (given those … [Read more...]
CUDA 7 Released
NVIDIA released CUDA 7 for all to use! Download here for Windows, Linux x86, Linux Power 8, and MacOSX: Productivity and Performance Improvements C++11 support makes it easier for C++ developers to accelerate their applications Write less code with ‘auto’ and ‘lambda’, especially when using the Thrust template library. New cuSOLVER library of dense and sparse direct … [Read more...]
PathScale Reports Highest SPEC-ACCEL OpenACC Results Using AMD s9150 GPU
PathScale in collaboration with Cirrascale posted the fastest OpenACC SPEC-ACCEL results to date using an AMD Firepro s9150 GPU. ENZO 2015 is the first major PathScale release to include support for AMD Firepro devices and demonstrates the "pragmatic portability" of OpenACC to compile and run on a variety of hardware platforms using a single source base. The ENZO 2015 compiler … [Read more...]
NVIDIA GTC 2015 keynote – Near-term Roadmap is Deep-Learning
The GTC 2015 Keynote by NVIDIA CEO Jen-Hsun Huang showed an intense focus on Deep-Learning through four topic areas: (1) The official Titan X GPU announcement that noted the 7 TF/s SP and 0.2 TF/s DP device has an excellent arithmetic performance mix for deep-learning, (2) The NVIDIA DIGITS (Deep GPU Training System for Data Scientists) software and custom NVIDIA built … [Read more...]