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Lenovo and Intel team up for Harvard Supercomputer and New Exascale Visionary Council

Today Lenovo announced the deployment of Cannon, Harvard University’s first liquid-Cooled supercomputer. Developed in cooperation with Intel, the new system’s advanced supercomputing infrastructure will enable discoveries into areas such earthquake forecasting, predicting the spread of disease, and star formation. In related news, Lenovo and Intel announced the creation of an exascale visionary council called Project Everyscale. The project mission is to enable broad adoption of exascale-focused technologies for organizations of all sizes.

Dr. Eng Lim Goh on Swarm Learning and Steering HPC Simulation with AI

In this fireside chat from SC19, Dr. Eng Lim Goh from HPE describes how the convergence of HPC and AI is changing the way scientists and engineers do their simulations. He also cites a case study of “Swarm Learning” where hospitals were able to train AI diagnostic models without sharing private patient data. Transcript: insideHPC: […]

World’s Fastest Supercomputers Look Familiar on November TOP500 List

Today marked the release of the 54th edition of the TOP500 list of the world’s fastest supercomputers. In summary, the top of the list remains largely unchanged. In fact, the top 10 systems are unchanged from the previous list. “The latest TOP500 list saw China and the US maintaining their dominance of the list, albeit in different categories. Meanwhile, the aggregate performance of the 500 systems, based on the High Performance Linpack (HPL) benchmark, continues to rise and now sits at 1.66 exaflops. The entry level to the list has risen to 1.14 petaflops, up from 1.02 petaflops in the previous list in June 2019.”

Intel Unveils New GPU Architecture and oneAPI Software Stack for HPC and AI

Today at SC19, Intel unveiled its new GPU architecture optimized for HPC and AI as well as an ambitious new software initiative called oneAPI that represents a paradigm shift from today’s single-architecture, single-vendor programming models. “HPC and AI workloads demand diverse architectures, ranging from CPUs, general-purpose GPUs and FPGAs, to more specialized deep learning NNPs which Intel demonstrated earlier this month,” said Raja Koduri, senior vice president, chief architect, and general manager of architecture, graphics and software at Intel. “Simplifying our customers’ ability to harness the power of diverse computing environments is paramount, and Intel is committed to taking a software-first approach that delivers unified and scalable abstraction for heterogeneous architectures.”

Slidecast: Dell EMC Using Neural Networks to “Read Minds”

In this slidecast, Luke Wilson from Dell EMC describes a case study with McGill University using neural networks to read minds. “If you want to build a better neural network, there is no better model than the human brain. In this project, McGill University was running into bottlenecks using neural networks to reverse-map fMRI images. The team from the Dell EMC HPC & AI Innovation Lab was able to tune the code to run solely on Intel Xeon Scalable processors, rather than porting to the university’s scarce GPU accelerators.”

Podcast: SC19 Student Cluster Competition Preview

In this podcast, the Radio Free HPC team catches up with Jessi Lanum, a veteran of the SC19 Student Cluster Competition, for an insider peek on what it’s like to compete for cluster competition glory. “For the few of you who are not already fans of these events, here’s the lowdown: 16 student teams representing universities from around the world have been working their brains out designing, building, and tuning clusters provided by their sponsors. They can use as much hardware as they want, the only limitation is that their systems can’t use more than 3,000 watts during the competition.”

Video: TNG50 cosmic simulation depicts formation of a single massive galaxy

“This cosmic simulation was made possible by the Hazel Hen supercomputer in Stuttgart, where 16,000 cores worked together for more than a year – the longest and most resource-intensive simulation to date. The simulation itself consists of a cube of space measuring more than 230 million light-years in diameter that contains more than 20 billion particles representing dark matter, stars, cosmic gas, magnetic fields, and supermassive black holes (SMBHs).”

Tackling Turbulence on the Summit Supercomputer

Researchers at the Georgia Institute of Technology have achieved world record performance on the Summit supercomputer using a new algorithm for turbulence simulation. “The team identified the most time-intensive parts of a base CPU code and set out to design a new algorithm that would reduce the cost of these operations, push the limits of the largest problem size possible, and take advantage of the unique data-centric characteristics of Summit, the world’s most powerful and smartest supercomputer for open science.”

Job of the Week: HPC Systems Administrator at Washington State University

Washington State University is seeking an HPC Systems Administrator in our Job of the Week. “The Center for Institutional Research Computing at Washington State University seeks exceptional applicants for the position of High-Performance Computing Systems Administrator. This position will play a vital role in the administration of HPC clusters used by the research community at Washington State University.”

Visualizing the World’s Largest Turbulence Simulation

In this visualization, LRZ presents the largest interstellar turbulence simulations ever performed, unravelling key astrophysical processes concerning the formation of stars and the relative role of magnetic fields. “Besides revealing features of turbulence with an unprecedented resolution, the visualizations brilliantly showcase the stretching-and-folding mechanisms through which astrophysical processes such as supernova explosions drive turbulence and amplify the magnetic field in the interstellar gas, and how the first structures, the seeds of newborn stars are shaped by this process.”