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...]
SC16 – Chinese Tech Capability Increase Over Last Year Now Matches or Exceeds US HPC Capability
During the press briefing at SC'16, TOP500 luminaries like Jack Dongarra, Horst Simon, Wu Feng, Martin Weuer, and Erich Strohmaier responded to questioning by the Press. The panel was gracious enough to respond to questions from TechEnablement about the state of the Chinese HPC capability along with observations about the state of the Chinese semiconductor, network, and … [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...]
Code Modernization Enables Pikazo’s Economics and Creates Opportunity
Sponsored Content “ is a tool that let’s anyone become an artist”, began Noah Rosenberg (CEO, Pikazo) when speaking about CPU-based artistic computing. “About grade 3-4 people begin to censor themselves and don’t give themselves permission to call what they draw art”. Pikazo changes that through an innovative blend of machine-learning and behind-the-scenes artistic knowhow to … [Read more...]
Come learn and meet the experts at the 2016 Intel HPC Developer Conference – Just Before SC16!
Sponsored Content Come learn and meet the experts at the Intel 2016 HPC Developer Conference - just before SC16! Arrive early at Supercomputing 2016 and fuel your insight with focused technical sessions and hands-on labs brought to you by your peers, industry experts, academic/governments institutions and Intel technologists. Plus it’s free! Register now for the 2016 … [Read more...]
NVIDIA Moves Deeper into the Data Center with the P4 and P40 Inference GPUs
NVIDIA announced the P4 and P40 GPUs that are optimized for machine learning inference performance and efficiency. The products are positioned to gain market share for NVIDIA in the data center. (Inference, sometimes called scoring or prediction, utilizes a trained machine learning algorithm to perform some difficult or valuable task like recognizing a picture, predicting an … [Read more...]
Inside the IBM POWER Systems 2x Price-Performance over x86 Claims
Today (Sept. 8, 2016) IBM POWER Systems unveiled a new family of servers that IBM claims will transform the economics of the Data Center: purpose-built for AI and machine learning and that can deliver a 2X Price-Performance Advantage over x86-Based Servers. Designed in collaboration with the OpenPOWER Foundation (including some of the biggest and innovative tech companies in … [Read more...]
The Exascale Project Starts – Announces $39.8M in First-Round Application Development Awards
OAK RIDGE, Tenn., Sept. 07, 2016 – The Department of Energy’s Exascale Computing Project (ECP) today announced its first round of funding with the selection of 15 application development proposals for full funding and seven proposals for seed funding, representing teams from 45 research and academic organizations. The ECP does not yet have a website – but one will be coming … [Read more...]
Code Modernization Speeds Python and Other Machine Learning Packages
Sponsored Content Recent benchmarks from respected sources such as Kyoto University and Colfax Research show Intel Scalable System Framework (Intel SSF) balanced technologies approach coupled with optimized software including Python, Theano, and Torch can provide a tremendous performance benefit for deep learning and more generally both machine learning and generic HPC … [Read more...]
Up To Orders of Magnitude More Performance with Intel’s Distribution of Python
Intel has created a freely downloadable, optimized Python distribution that can greatly accelerate Python codes. Benchmarks show that two order of magnitude speedups (over 100x) can be achieved by using the Intel Distribution for Python. The Intel® Distribution for Python 2017 Beta program (product release will be in September) provides free access to this optimized version. … [Read more...]