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Podcast: The Exascale Data and Visualization project at LANL

In this episode of Let’s Talk Exascale, Scott Gibson discusses the ECP Data and Visualization project with Jim Ahrens from Los Alamos National Lab. Ahrens is principal investigator for the Data and Visualization project, which is responsible for the storage and visualization aspects of the ECP and for helping its researchers understand, store, and curate scientific data.

Fighting Cancer with Deep Learning at Scale with the CANDLE Project

In this episode of Let’s Talk Exascale, Mike Bernhardt discusses the CANDLE project for cancer research with Rick Stevens from Argonne National Lab. The CANcer Distributed Learning Environment (CANDLE) is an ECP application development project targeting new computational methods for cancer treatment with precision medicine.

Intel’s Al Gara Presents: Technology Opportunities Like Never Before

Al Gara from gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of HPC and AI will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”

European Commission to invest EUR 1 Billion in Exascale

Today the European Commission unveiled today its plans to invest jointly with the Member States in building a world-class European supercomputers infrastructure. “While Europe already had a number of exascale initiatives under way, this is a major step forward in that it puts up the money. Under a new legal and funding structure, the Commission’s contribution will be $486 million, or roughly half of the projected EUR 1 Billion total. Before the new structure was put in place, the Commission was effectively limited to contributing only 20 percent of HPC initiatives undertaken with member states. 

Steve Oberlin from NVIDIA Presents: HPC Exascale & AI

Steve Oberlin from NVIDIA gave this talk at SC17 in Denver. “HPC is a fundamental pillar of modern science. From predicting weather to discovering drugs to finding new energy sources, researchers use large computing systems to simulate and predict our world. AI extends traditional HPC by letting researchers analyze massive amounts of data faster and more effectively. It’s a transformational new tool for gaining insights where simulation alone cannot fully predict the real world.”

Video: A Closer Look at the Atos Dibona Prototype for ARM-based HPC

In this video from SC17 in Denver, Pascale Bruner from Atos describes the company’s innovative ARM-HPC technologies developed as part of the Mont-Blanc Project. “Atos will showcase our Dibona prototype for ARM-based HPC. Named after the Dibona peak in the French Alps, the new prototype is part of the Phase 3 of Mont-Blanc and is based on 64 bit ThunderX2 processors from Cavium, relying on the ARM v8 instruction set.”

Video: Taking the Nanoscale to the Exascale

Theresa Windus from Iowa State University gave this Invited Talk at SC17. “This talk will focus on the challenges that computational chemistry faces in taking the equations that model the very small (molecules and the reactions they undergo) to efficient and scalable implementations on the very large computers of today and tomorrow. In particular, how do we take advantage of the newest architectures while preparing for the next generation of computers? “

Report: Future Software and Data Ecosystem for Scientific Inquiry

“The tremendous progress that we’re making toward the achievement of exascale systems, both here in the United States and in the European Union and Asia, will be undermined unless we can create a shared distributed computing platform to manage the logistics of massive, multistage data workflows with their sources at the network edge. Backhauling these rivers of data to the supercomputing center or the commercial cloud will not be a viable option for many, if not most applications.”

Call for Papers: HiPINEB 2018 in Vienna

The IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB) has issued its Call for Papers. The event takes place February 25, 2018 in Vienna, Austria in conjunction with HPCA 2018 Conference. “The main goal of the fourth edition of HiPINEB is to gather and discuss in a full-day event the latest and most prominent efforts and advances, from both industry and academia, in the design and development of scalable high-performance interconnection networks, especially those oriented to meet the Exascale challenge and Big-data demands.”

EuroExa Project puts Europe on the Road to Exascale

In this special guest feature from Scientific Computing World, Robert Roe writes that the EuroExa project has Europe on the road to Exascale computing. “Ultimately, the goals for exascale computing projects are focused on delivering and supporting an exascale-class supercomputer, but the benefits have the potential to drive future developments far beyond the small number of potential exascale systems. Projects such as EuroExa and the Exascale Computing Project in the US could have far-reaching benefits for smaller-scale HPC systems.”