Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:

Video: A Look at the Lincoln Laboratory Supercomputing Center

“Guided by the principles of interactive supercomputing, Lincoln Laboratory was responsible for a lot of the early work on machine learning and neural networks. We now have a world-class group investigating speech and video processing as well as machine language topics including theoretical foundations, algorithms and applications. In the process, we are changing the way we go about computing. Over the years we have tended to assign a specific systems to service a discrete market, audience or project. But today those once highly specialized systems are becoming increasingly heterogeneous. Users are interacting with computational resources that exhibit a high degree of autonomy. The system, not the user, decides on the computer hardware and software that will be used for the job.”

Video: Modern Code – Making the Impossible Possible

In this video, Rich Brueckner from insideHPC moderates a panel discussion on Code Modernization. “SC15 luminary panelists reflect on collaboration with Intel and how building on hardware and software standards facilitates performance on parallel platforms with greater ease and productivity. By sharing their experiences modernizing code we hope to shed light on what you might see from modernizing your own code.”

Video: AI – The Next HPC Workload

“From new cloud offerings on AWS and Azure, to Summit and Sierra, the 150+ PF supercomputers being built by the US in 2017, new AI workloads are driving the rapid growth of GPU accelerated HPC systems. For years, HPC simulations have generated ever increasing amounts of big data, a trend further accelerated by GPU computing. With GPU Deep Learning and other AI approaches, a larger amount of big data than ever can now be used to advance scientific discovery.”

Video: A Look at the Mogon II HPC Cluster at Johannes Gutenberg University

In this video, Prof. Dr.-Ing. André Brinkmann from the JGU datacenter describes the Mogon II cluster, a 580 Teraflop system currently ranked #265 on the TOP500. “Built by MEGWARE in Germany, the Mogon II system consists of 814 individual nodes each equipped with 2 Intel 2630v4 CPUs and connected via OmniPath 50Gbits (fat-tree). Each CPU has 10 cores, giving a total of 16280 cores.”

Supercomputing Drone Aerodynamics

In this video, researchers at NASA Ames explore the aerodynamics of a popular example of a small, battery-powered drone, a modified DJI Phantom 3 quadcopter. “The Phantom relies on four whirring rotors to generate enough thrust to lift it and any payload it’s carrying off the ground. Simulations revealed the complex motions of air due to interactions between the vehicle’s rotors and X-shaped frame during flight. As an experiment, researchers added four more rotors to the vehicle to study the effect on the quadcopter’s performance. This configuration produced a nearly twofold increase in the amount of thrust.”

Video: Lenovo Powers Manufacturing Innovation at Hartree Centre

“STFC Hartree Centre needed a powerful, flexible server system that could drive research in energy efficiency as well as economic impact for its clients. By extending its System x platform with NeXtScale System, Hartree Centre can now move to exascale computing, support sustainable energy use and help its clients gain a competitive advantage.” Sophisticated data processes are now integral to all areas of research and business. Whether you are new to discovering the potential of supercomputing, data analytics and cognitive techniques, or are already using them, Hartree’s easy to use portfolio of advanced computing facilities, software tools and know-how can help you create better research outcomes that are also faster and cheaper than traditional research methods.

Video: Livermore HPC Takes Aim at Cancer

In this video, Jonathan Allen from LLNL describes how Lawrence Livermore’s supercomputers are playing a crucial role in advancing cancer research and treatment. “A historic partnership between the Department of Energy (DOE) and the National Cancer Institute (NCI) is applying the formidable computing resources at Livermore and other DOE national laboratories to advance cancer research and treatment. Announced in late 2015, the effort will help researchers and physicians better understand the complexity of cancer, choose the best treatment options for every patient, and reveal possible patterns hidden in vast patient and experimental data sets.”

Understanding Cities through Computation, Data Analytics, and Measurement

“For many urban questions, however, new data sources will be required with greater spatial and/or temporal resolution, driving innovation in the use of sensors in mobile devices as well as embedding intelligent sensing infrastructure in the built environment. Collectively, these data sources also hold promise to begin to integrate computational models associated with individual urban sectors such as transportation, building energy use, or climate. Catlett will discuss the work that Argonne National Laboratory and the University of Chicago are doing in partnership with the City of Chicago and other cities through the Urban Center for Computation and Data, focusing in particular on new opportunities related to embedded systems and computational modeling.”

Intel HPC Orchestrator Powers Research at University of Pisa

In this video, Maurizio Davini from the University of Pisa describe how the University works with Dell EMC and Intel to test new technologies, integrate and optimize HPC systems with Intel HPC Orchestrator software. “We believe these two companies are at the forefront of innovation in high performance computing,” said University CTO Davini. “We also share a common goal of simplifying HPC to support a broader range of users.”

Video: Diversity and Inclusion in Supercomputing

Dr. Maria Klawe gave this Invited Talk at SC16. “Like many other computing research areas, women and other minority groups are significantly under-represented in supercomputing. This talk discusses successful strategies for significantly increasing the number of women and students of color majoring in computer science and explores how these strategies might be applied to supercomputing.”