In this video from SC18 in Dallas, Dr. Sofia Vallecorsa from CERN OpenLab describes how Ai is being used in design of experiments for the Large Hadron Collider. “An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learning. The CERN team demonstrated that AI-based models have the potential to act as orders-of-magnitude-faster replacements for computationally expensive tasks in simulation, while maintaining a remarkable level of accuracy.”
Video: How Ai is helping Scientists with the Large Hadron Collider
November 19, 2018 by Leave a Comment
The Green HPCG List and the Road to Exascale
November 19, 2018 by Leave a Comment
In this special guest post, Axel Huebl looks at the TOP500 and HPCG with an eye on power efficiency trends to watch on the road to Exascale. “This post will focus one efficiency, in terms of performance per Watt, simply because system power envelope is a major constrain for upcoming Exascale systems. With the great numbers from TOP500, we try to extend theoretical estimates from theoretical Flop/Ws of individual compute hardware to system scale.”
Video: China’s Tsinhua University Takes the Student Cluster Competition
November 18, 2018 by Leave a Comment
In this video from CGTN, China’s Tsinghua University takes the Student Cluster Competition at the SC18 conference in Dallas. The win was the final step in a Triple Crown for the team, as they won similar competitions in Asia and Germany earlier this year. “With sponsorship from hardware and software vendor partners, student teams design and build small clusters, learn designated scientific applications, apply optimization techniques for their chosen architectures, and compete in a non-stop, 48-hour challenge at the SC conference to complete a real-world scientific workload, showing off their HPC knowledge for conference attendees and judges.”
Radio Free HPC Runs Down the TOP500 Fastest Supercomputers
November 17, 2018 by 2 Comments
In this podcast, the Radio Free HPC team looks back on the highlights of SC18 and the newest TOP500 list of the world’s fastest supercomputers.
Buddy Bland shows off Summit, the world’s fastest supercomputer at ORNL. “The latest TOP500 list of the world’s fastest supercomputers is out, a remarkable ranking that shows five Department of Energy supercomputers in the top 10, with the first two captured by Summit at Oak Ridge and Sierra at Livermore. With the number one and number two systems on the planet, the “Rebel Alliance” vendors of IBM, Mellanox, and NVIDIA stand far and tall above the others.”
Intel Offers Sneak Peek at Cascade Lake Advanced Performance edition for HPC
November 16, 2018 by Leave a Comment
In this video from SC18 in Dallas, Thor Sewell from Intel describes the company’s pending Cascade Lake Advanced Performance chip. “This next-gen platform doubles the cores per socket from an Intel system by joining a number of Cascade Lake Xeon dies together on a single package with the blue team’s Ultra Path Interconnect, or UPI. Intel will allow Cascade Lake-AP servers to employ up to two-socket (2S) topologies, for as many as 96 cores per server.”
Video: Intel Driving HPC on the Road to Exascale
November 15, 2018 by Leave a Comment
In this video from SC18, Raj Hazra describes how Intel is driving the convergence of HPC and Ai. “To meet the new computational challenges presented by this AI and HPC convergence, HPC is expanding beyond its traditional role of modeling and simulation to encompass visualization, analytics, and machine learning. Intel scientists and engineers will be available to discuss how to implement AI capabilities into your current HPC environments and demo how new, more powerful HPC platforms can be applied to meet your computational needs now and in the future.”
Intel Powers SuperMUC-NG Supercomputer at LRZ in Germany
November 14, 2018 by Leave a Comment
In this video from SC18 in Dallas, Dieter Kranzlmueller from LRZ in Germany describes how Intel powers the SuperMUC-NG supercomputer. “The 19.4 Petaflop machine ranks number 8 among the fastest supercomputers in the world. SuperMUC-NG is in its start-up phase, and will be ready for full production runs in 2019. The machine, build in partnership with Lenovo and Intel, has a theoretical peak of 26.9 petaflops, and is comprised of 6,400 compute nodes based on Intel Xeon Scalable processors.”
Video: Intel to Power Fastest Supercomputer in Academia at TACC
November 13, 2018 by Leave a Comment
In this video, Dan Stanzione from TACC describes how Intel technologies from Intel will power the World’s Fastest Supercomputer in Academia at the Texas Advanced Computing Center. “If completed today, Frontera would be the fifth most powerful system in the world, the third fastest in the U.S. and the largest at any university. For comparison, Frontera will be about twice as powerful as Stampede2.”
NVIDIA Powers New Performance Records on TOP500 List
November 13, 2018 by Leave a Comment
Today NVIDIA showcased its HPC leadership in the TOP500 list of the world’s fastest supercomputers. The closely watched list shows a 48 percent jump in one year in the number of systems using NVIDIA GPU accelerators. The total climbed to 127 from 86 a year ago, and is three times greater than five years ago. “With the end of Moore’s Law, a new HPC market has emerged, fueled by new AI and machine learning workloads. These rely as never before on our high performance, highly efficient GPU platform to provide the power required to address the most challenging problems in science and society.”
Slidecast: BigDL Open Source Machine Learning Framework for Apache Spark
November 12, 2018 by Leave a Comment
In this video, Beenish Zia from Intel presents: BigDL Open Source Machine Learning Framework for Apache Spark. “BigDL is a distributed deep learning library for Apache Spark*. Using BigDL, you can write deep learning applications as Scala or Python* programs and take advantage of the power of scalable Spark clusters. This article introduces BigDL, shows you how to build the library on a variety of platforms, and provides examples of BigDL in action.”
