Nick Nystrom from the Pittsburgh Supercomputing Center gave this talk at the Stanford HPC Conference. “The Artificial Intelligence and Big Data group at Pittsburgh Supercomputing Center converges Artificial Intelligence and high performance computing capabilities, empowering research to grow beyond prevailing constraints. The Bridges supercomputer is a uniquely capable resource for empowering research by bringing together HPC, AI and Big Data.”
Video: Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze Research Breakthroughs
May 16, 2020 by Leave a Comment
The Role of Middleware in Optimizing Vector Processing
March 25, 2020 by
A new whitepaper from NEC X delves into the world of unstructured data and explores how vector processors and their optimization software can help solve the challenges of wrangling the ever-growing volumes of data generated globally. “In short, vector processing with SX-Aurora TSUBASA will play a key role in changing the way big data is handled while stripping away the barriers to achieving even higher performance in the future.”
Is Your Storage Infrastructure Ready for the Coming AI Wave?
March 23, 2020 by
In this new whitepaper from our friends over at Panasas, we take a look at whether your storage infrastructure is ready for the robust requirements in support of AI workloads. AI promises to not only create entirely new industries, but it will also fundamentally change the way organizations large and small conduct business. IT planners need to start revising their storage infrastructure now to prepare the organization for the coming AI wave.
Case Study: Magseis Fairfield Uses a Sea of Data to Support Environmentally Responsible Energy Exploration
March 17, 2020 by
This whitepaper contains a compelling HPC data storage solution case study highlighting the use of Panasas ActiveStor® by Magseis Fairfield, a geophysics firm that specializes in providing seismic 3D and 4D data acquisition services to exploration and production (E&P) companies. The whitepaper, “Magseis Fairfield Uses a Sea of Data to Support Environmentally Responsible Energy Exploration,” […]
Bright Cluster Manager for Data Science Now Available at No Charge with Easy8
February 25, 2020 by
Today Bright Computing announced that Bright Cluster Manager for Data Science is now available at no charge as part of the Easy8 program. Launched in November of 2019, Easy8 is designed to put Bright’s award-winning cluster management software in the hands of every organization working with high-performance Linux clusters. Easy8 offers the full-featured Bright Cluster Manager software free for up to 8 nodes, and now includes Bright Cluster Manager for Data Science. Bright Cluster Manager automates the process of building and managing heterogeneous Linux clusters that span from your on-premise datacenter to the cloud, and to the edge.
Panasas ActiveStor Solution: Architectural Overview
February 24, 2020 by
Panasas has released this timely new white paper “Panasas ActiveStor Solution: Architectural Overview.” The Panasas ActiveStor architecture running the PanFS storage operating system breaks through the performance constraints of other parallel file systems. The comprehensive and tightly integrated solution enables high-performance direct parallel access to petabytes of data while avoiding the stability problems inherent in legacy NAS systems as they grow.
The GigaIO FabreX Network – New Frontiers in Networking For Big Data
February 17, 2020 by
GigaIO has developed a new whitepaper to describe GigaIO FabreX, a fundamentally new network architecture that integrates computing, storage, and other communication I/O into a single-system cluster network, using industry standard PCIe (peripheral component interconnect express) technology.
The GigaIO™ FabreX™ Network – New Frontiers in Networking For Big Data
In order to derive meaning from big data, via implementing the capabilities of big data analytics, and create new opportunities and new value, organizations must find a way to obtain radically increased overall system throughput. This whitepaper describes how the GigaIO FabreX network makes such accelerated functionalities possible by achieving exceptionally low latency and high-bandwidth performance across an organization’s entire network.
Video: The Convergence of Big Data and Large-scale Simulation
January 29, 2020 by
David Keyes from KAUST gave this talk at ATPESC 2019. “Analytics can provide to machine learning feature vectors for training. Machine learning, in turn, can impute missing data and provide detection and classification. The scientific opportunities are potentially enormous enough to overcome the inertia of the specialized communities that have gathered around each of paradigms and spur convergence.”
Atos Launches Quantum Learning Machine User Group
December 12, 2019 by
Today Atos launched the global User Group of the Atos Quantum Learning Machine (QLM). Chaired by a representative from French multi-national energy company Total, the User Group ecosystem is supported by the Atos’ Quantum Scientific Council, which includes universally recognized quantum physicists. It is also further enhanced by partners such as leading software company Zapata and start-up Xofia. “Now, with the creation of this Group of Atos QLM Users, we are ensuring that we continue to support them to develop new advances in deep learning, algorithmics and artificial intelligence with the support of the breakthrough computing acceleration capacities that quantum simulation provides.”
