Are supercomputers practical for Deep Learning applications? Over at the Allinea Blog, Mark O’Connor writes that a recent experiment with machine learning optimization on the Archer supercomputer shows that relatively simple models run at sufficiently large scale can readily outperform more complex but less scalable models. “In the open science world, anyone running a HPC cluster can expect to see a surge in the number of people wanting to run deep learning workloads over the coming months.”
Growing momentum was the watchword at the inaugural OpenPOWER European Summit this week, where the OpenPOWER Foundation made a series of announcements today detailing the rapid growth, adoption and support of OpenPOWER across the continent. ” With today’s announcements by our European members, the OpenPOWER Foundation expands its reach, bringing open source, high performing, flexible and scalable solutions to organizations worldwide.”
At insideHPC, are very pleased to publish the Print ‘n Fly Guide to SC16 in Salt Lake City. We designed this Guide to be an in-flight magazine custom tailored for your journey to SC16 — the world’s largest gathering of high performance computing professionals. “Inside this guide you will find technical features on supercomputing, HPC interconnects, and the latest developments on the road to exascale. It also has great recommendations on food, entertainment, and transportation in SLC.”
The Networking at SC (WINS) program officially launched today. Funded through a grant from the NSF and ESnet, the program sponsors eight career women in the research and education network community to participate in the build out and live operation of SCinet. “Not only is WINS providing hands-on engineering training to the participants but also the opportunity to present their experiences with the broader networking community throughout the year.”
“HPC is ‘mainstreaming’ into many industry verticals and converging with Big Data and Cloud. By 2019, HPC will account for nearly 1 in 4 of all servers sold. Our scalable, flexible market-ready solutions — with the latest Intel processors — readily handle compute and data-intensive workloads to drive breakthroughs faster. Dell supports industry, research, government and education with market-ready HPC solutions that enable more innovation and discovery. Our scalable, flexible solutions readily handle compute and data-intensive research workloads, helping drive faster breakthroughs.”
“Over the past six weeks, we took NVIDIA’s developer conference on a world tour. The GPU Technology Conference (GTC) was started in 2009 to foster a new approach to high performance computing using massively parallel processing GPUs. GTC has become the epicenter of GPU deep learning — the new computing model that sparked the big bang of modern AI. It’s no secret that AI is spreading like wildfire. The number of GPU deep learning developers has leapt 25 times in just two years.”
Next month at SC16, Dr. Thomas Schulthess from CSCS in Switzerland will present a talk entitled “Reflecting on the Goal and Baseline for Exascale Computing.” The presentation will take place on Wednesday, Nov. 15 at 11:15 am in Salt Palace Ballroom-EFGHIJ.
The DOD High Performance Computing Program and the U.S. Army Research Laboratory (ARL) hosted the Supercomputing Summer Institute July 18-29, 2016, at Aberdeen Proving Ground, Maryland. The program introduced students to high-tech learning opportunities.
Oak Ridge National Lab is celebrating the fourth birthday of Titan, the fastest supercomputer in the U.S. that is currently ranked at #3 on the TOP500. “To celebrate Titan’s 4th “birthday” properly, the OLCF needs your help! We’re asking friends of Titan to post birthday messages, pictures, and short videos (30 seconds or less) on Twitter and Facebook using the hashtag #TitanWeek.”