In this interview, Dr. Meyer discusses AMAX’s focus on appliances for storage, cloud, and hyper-scale integration. Dr. Meyer goes into more depth about why training in AI is now moving to deploying models at the edge, and why 2nd Generation Intel Xeon Scalable processors can be a good fit for such tasks given their advancements in machine learning and security technologies.
Predictions for HPC in 2020
February 17, 2020 by Leave a Comment
In this special guest feature from Scientific Computing World, Laurence Horrocks-Barlow from OCF predicts that containerization, cloud, and GPU-based workloads are all going to dominate the HPC environment in 2020. “Over the last year, we’ve seen a strong shift towards the use of cloud in HPC, particularly in the case of storage. Many research institutions are working towards a ‘cloud first’ policy, looking for cost savings in using the cloud rather than expanding their data centres with overheads, such as cooling, data and cluster management and certification requirements.”
How HPC is Powering the Age of Genomic Big Data
February 13, 2020 by Leave a Comment
In this special guest feature, Jeff Reser from SUSE describes how Linux and HPC are key enabling technologies behind the research and breakthroughs in Genomics. “The Human Genome Project is an excellent example of large-scale international cooperation. It took a closely-coordinated and collaborative team effort to complete. Once the human genome had been successfully sequenced and decoded, it was immediately made publicly available. Since then, new information has been regularly published and made freely available. Here at SUSE, we’re totally committed to this community-driven “open source” ideal. It permeates everything we do.”
Microway powers Shared Research Computing Storage Project in Massachusetts
February 12, 2020 by 1 Comment
Powered by storage technology supplied by Microway, the Northeast Storage Exchange (NESE) is changing the way Boston-area universities approach research data storage. “Born out of a groundbreaking regional high-performance computing project, NESE aims to break further ground—to create a long-term, growing, self-sustaining data storage facility serving both regional researchers and national and international-scale science and engineering projects.”
University of Florida Accelerates BioTech Research with Qumulo
February 10, 2020 by Leave a Comment
The University of Florida has chosen Qumulo’s distributed file system for its scalable capacity, real-time data analytics, and industry-recognized commitment to customer care. “We wanted a storage solution that would not only work for UF’s faculty but work for our research computing staff as well,” said Erik Deumens, scientist and director, UF Information Technology – Research Computing. “Selecting Qumulo takes the guesswork out of our storage management and makes us more efficient when scheduling diagnostic operations. We find the Qumulo system to be rich in features and easy to work with. It is a very cost-effective solution so that we are making the best use of university funds.”
KU Leuven in Belgium joins iRODS Consortium
February 9, 2020 by Leave a Comment
The iRODS Consortium has welcomed KU Leuven as its newest Consortium member. As one of Europe’s oldest universities, Belgium’s KU Leuven boasts a long tradition of ground-breaking research and high quality education. With a new Research Data Management program, the university aims to accelerate science and innovation by enabling scientists to more effectively and efficiently find, access, share, and reuse data. “With a strong history of supporting the management and reuse of scientific data at universities in Europe and around the world, iRODS is well positioned to provide a framework for KU Leuven’s ambitious research data management initiative,” said Jason Coposky, Executive Director, iRODS Consortium. “We are pleased to welcome KU Leuven to the iRODS Consortium and look forward to working with them to guide the development of future capabilities that will benefit their researchers and the broader user community.”
How Ceph powers exciting research with Open Source
February 6, 2020 by Leave a Comment
“As researchers seek scalable, high performance methods for storing data, Ceph is a powerful technology that needs to be at the top of their list. Ceph is an open-source software-defined storage platform. While it’s not often in the spotlight, it’s working hard behind the scenes, playing a crucial role in enabling ambitious, world-renowned projects such as CERN’s particle physics research, Immunity Bio’s cancer research, The Human Brain Project, MeerKat radio telescope, and more.”
Samsung Launches Flashbolt High Bandwidth 2E Memory
February 5, 2020 by Leave a Comment
Today Samsung Electronics launched ‘Flashbolt,’ its third-generation High Bandwidth Memory 2E (HBM2E). The new 16-gigabyte (GB) HBM2E is uniquely suited to maximize HPC systems and help system manufacturers to advance their supercomputers, AI-driven data analytics and state-of-the-art graphics systems in a timely manner. “With the introduction of the highest performing DRAM available today, we are taking a critical step to enhance our role as the leading innovator in the fast-growing premium memory market,” said Cheol Choi, executive vice president of Memory Sales & Marketing at Samsung Electronics.
Beyond Discoverability: Metadata to Drive Your Data Management
February 5, 2020 by Leave a Comment
Terrell Russell from iRODS gave this talk at SC19. “The Integrated Rule-Oriented Data System (iRODS) is open source data management software used by research organizations and government agencies worldwide. iRODS is released as a production-level distribution aimed at deployment in mission critical environments. It virtualizes data storage resources, so users can take control of their data, regardless of where and on what device the data is stored.”
vScaler Launches AI Reference Architecture
February 3, 2020 by Leave a Comment
A new AI reference architecture from vScaler describes how to simplify the configuration and management of software and storage in a cost-effective and easy to use environment. “vScaler – an optimized cloud platform built with AI and Deep Learning workloads in mind – provides you with a production ready environment with integrated Deep Learning application stacks, RDMA accelerated fabric and optimized NVMe storage, eliminating the administrative burden of setting up these complex AI environments manually.”
