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Video: The Sierra Supercomputer – Science and Technology on a Mission

Adam Bertsch from LLNL gave this talk at the Stanford HPC Conference. “Our next flagship HPC system at LLNL will be called Sierra. A collaboration between multiple government and industry partners, Sierra and its sister system Summit at ORNL, will pave the way towards Exascale computing architectures and predictive capability.”

Video: Computing Challenges at the Large Hadron Collider

CERN’s Maria Girona gave this talk at the HiPEAC 2018 conference in Manchester. “The Large Hadron Collider (LHC) is one of the largest and most complicated scientific apparata ever constructed. “In this keynote, I will discuss the challenges of capturing, storing and processing the large volumes of data generated at CERN. I will also discuss how these challenges will evolve towards the High-Luminosity Large Hadron Collider (HL-LHC), the upgrade programme scheduled to begin taking data in 2026 and to run into the 2030s, generating some 30 times more data than the LHC has currently produced.”

HACC: Fitting the Universe inside a Supercomputer

Nicholas Frontiere from the University of Chicago gave this talk at the DOE CSGF Program Review meeting. “In response to the plethora of data from current and future large-scale structure surveys of the universe, sophisticated simulations are required to obtain commensurate theoretical predictions. We have developed the Hardware/Hybrid Accelerated Cosmology Code (HACC), capable of sustained performance on powerful and architecturally diverse supercomputers to address this numerical challenge. We will investigate the numerical methods utilized to solve a problem that evolves trillions of particles, with a dynamic range of a million to one.”

Video: Deep Reinforcement Learning and Systems Infrastructure at DeepMind

In this video from HiPEAC 2018 in Manchester, Dan Belov from DeepMind describe the company’s machine learning technology and some of the challenges ahead. “DeepMind Inc. is well known for state of the art Deep Reinforcement Learning (DRL) algorithms such as DQN on Atari, A3C on DMLab and AlphaGo Zero. I would like to take you on a tour of challenges we encounter when training DRL agents on large workloads with hundreds of terabytes of data. I’ll talk about why DRL poses unique challenges when designing distributed systems and hardware as opposed to simple supervised learning. Finally I’d like to discuss opportunities for DRL to help systems design and operation.”

TACC Podcast Looks at AI and Water Management

In this TACC podcast, Suzanne Pierce from the Texas Advanced Computing Center describes her upcoming panel discussion on AI and water management and the work TACC is doing to support efforts to bridge advanced computing with Earth science. “It’s about letting the AI help us be better decision makers. And it helps us move towards answering, discussing, and exploring the questions that are most important and most critical for our quality of life and our communities so that we can develop a future together that’s brighter.”

Buying for Tomorrow: HPC Systems Procurement Matters

Ingrid Barcena from KU Leuven gave this talk at the HPC Knowledge Portal meeting in San Sebastián, Spain. “One of the biggest challenges when procuring High Performance Computing systems is to ensure that not only a faster machine than the previous one is bought but that the new system is well suited for the organization needs, fit within a limited budget and prove value for money. However, this is not a simple task and failing on buying the right HPC system can have tremendous consequences for an organization.”

EasyBuild: Past, Present & Future

Kenneth Hoste from Ghent University this talk at the EasyBuild User Meeting in Amsterdam. “EasyBuild is a software build and installation framework that allows you to manage (scientific) software on HPC systems in an efficient way. The EasyBuild User Meeting is an open and highly interactive event that provides a great opportunity to meet fellow EasyBuild enthusiasts, discuss related topics and learn about new aspects of the tool.”

Optalysys Optical Processing Achieves 90 percent energy savings for DNA Sequence Alignment

The GENESYS project applied Optalysys’s unique optical processing technology to perform large-scale DNA sequence alignment. “The collaboration with EI has been a great success,” said Dr. Nick New, founder and CEO of Optalysys. “We have demonstrated the technology at several international conferences including Advances in Genome Biology and Technology, Plant and Animal Genome Conference and Genome 10K/Genome Science, to an overwhelmingly enthusiastic response. We are looking forward to continuing our strong relationship with EI through the beta program and beyond.”

Realizing Exabyte-scale PM Centric Architectures and Memory Fabrics

Zvonimir Bandic from Western Digital gave this talk at the SNIA Persistent Memory Summit. “Much has been debated about would it take to scale a system to exabyte main memory with the right levels of latencies to address the world’s growing and diverse data needs. This presentation will explore legacy distributed system architectures based on traditional CPU and peripheral attachment of persistent memory, scaled out through the use of RDMA networking.”

Supercomputing the Origin of Mass

In this video, Professor Derek Leinweber from the University of Adelaide presents his research in Lattice Quantum Field Theory; revealing the origin of mass in the universe. “While the fundamental interactions are well understood, elucidating the complex phenomena emerging from this quantum field theory is fascinating and often surprising. My explorations of QCD-vacuum structure featured in Professor Wilczek’s 2004 Physics Nobel Prize Lecture. Our approach to discovering the properties of this key component of the Standard Model of the Universe favors fundamental first-principles numerical simulations of QCD on supercomputers. This field of study is commonly referred to as Lattice QCD.”