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TACC Upgrades Ranch Storage System for Wrangling Big Data

TACC has completed a major upgrade of their Ranch long-term mass data storage system. With thousands of users, Ranch archives are valuable to scientists who want to use the data to help reproduce the measurements and results of prior research. Computational reproducibility is one piece of the larger concept of scientific reproducibility, which forms a cornerstone of […]

New Paper: Nanophotonic Neural Networks coming Closer to Reality

Over at the Intel AI blog, Casimir Wierzynski writes that Optical Neural Networks have exciting potential for power-efficiency in AI computation. “At last week’s CLEO conference, we and our collaborators at UC Berkeley presented new findings around ONNs, including a proposal for how that original work could be extended in the face of real-world manufacturing constraints to bring nanophotonic neural network circuits one step closer to a practical reality.”

Spectra Logic Report: Digital Data Storage Outlook 2019

Today Spectra Logic announced the publication of “Digital Data Storage Outlook 2019,” the company’s fourth annual report on the data storage industry. “This report provides a high-level snapshot of the trends that will influence technological advancements in the data storage industry, and the workflows that will impact the way the world uses and preserves its digital information for the long term.”

New Dell EMC AI Experience Zones Launch in Asia

Today Dell EMC launched a set of new Dell EMC AI Experience Zones in Bangalore, Seoul, Singapore, Sydney, and Tokyo. “The Dell EMC AI Experience Zones provide a unique space where customers and our partners can explore, test out, and learn about the different physical and virtual components that make up an AI ecosystem. This initiative is the focal point of our commitment to fostering knowledge sharing between CIOs, our ready team of technology experts, and industry partners to accelerate AI adoption and innovation for the region.”

Video: Perlmutter – A 2020 Pre-Exascale GPU-accelerated System for NERSC

Nick Wright from Lawrence Berkeley Lab gave this talk at the GPU Technology Conference. “We’ll present an overview of the upcoming NERSC9 system architecture, throughput model, and application readiness efforts. Perlmutter, a Cray system based on the Shasta architecture, will be a heterogeneous system comprising both CPU-only and GPU-accelerated nodes, with a performance of more than 3 times Cori, NERSC’s current platform.”

GCS Sponsors University Teams for ISC19 Student Cluster Competition

The Gauss Centre for Supercomputing is sponsoring the two German student teams for the Student Cluster Competition at ISC 2019 in Frankfurt. The teams, representing the University of Hamburg and Heidelberg University, are among the 14 student teams from Asia, North America, Africa, and Europe that will go head to head on the exhibition show floor.

GPU Hackathon gears up for Future Perlmutter Supercomputer

NERSC recently hosted its first user hackathon to begin preparing key codes for the next-generation architecture of the Perlmutter system. Over four days, experts from NERSC, Cray, and NVIDIA worked with application code teams to help them gain new understanding of the performance characteristics of their applications and optimize their codes for the GPU processors in Perlmutter. “By starting this process early, the code teams will be well prepared for running on GPUs when NERSC deploys the Perlmutter system in 2020.”

Catalyst UK Program Fosters Arm-based HPC Systems

“Clearly Arm will fit in as part of a broader HPC ecosystem, as we move towards systems that involve multiple chip architectures. In terms of scientific research, it may mean we run one stage of a simulation workflow on an Arm processor, while another stage is best carried out on another processor. By building a common fabric with multiple architectures on it, we can allow users to use the most appropriate hardware for each stage of their particular research problem.”

The Pending Age of Exascale

In this special guest feature from Scientific Computing World, Robert Roe looks at advances in exascale computing and the impact of AI on HPC development. “There is a lot of co-development, AI and HPC are not mutually exclusive. They both need high-speed interconnects and very fast storage. It just so happens that AI functions better on GPUs. HPC has GPUs in abundance, so they mix very well.”

Agenda Posted for PASC19 in Zurich

PASC19 has posted its Full Conference Program. The event takes place June 12-14 in Zurich, Switzerland. “PASC19 is the sixth edition of the PASC Conference series, an international platform for the exchange of competences in scientific computing and computational science, with a strong focus on methods, tools, algorithms, application challenges, and novel techniques and usage of high performance computing.”