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Video: Kathy Yelick from LBNL Testifies at House Hearing on Big Data Challenges and Advanced Computing

In this video, Kathy Yelick from LBNL describes why the US needs to accelerate its efforts to stay ahead in AI and Big Data Analytics. “Data-driven scientific discovery is poised to deliver breakthroughs across many disciplines, and the U.S. Department of Energy, through its national laboratories, is well positioned to play a leadership role in this revolution. Driven by DOE innovations in instrumentation and computing, however, the scientific data sets being created are becoming increasingly challenging to sift through and manage.”

Evolving Considerations for Data Storage in Life Sciences

The latest lab instruments are driving the need for powerful IT resources in the life sciences. Laboratory technologies are evolving rapidly. Download the new report from Quantum, to discover the latest for data storage in life sciences. 

CSCS Takes on Big Data from the Paul Scherrer Institute

Today CSCS in Lugano announced plans to archive research data collected by the large-scale research facilities at the Paul Scherrer Institute (PSI) in Villigen. The collaboration between PSI and CSCS enabled major improvements to the data transfer and storage process. “Storing and archiving data is part of everyday life at CSCS. However, transferring huge amounts of data — including ongoing research projects online across Switzerland as well as an entire data archive containing decades of major completed projects — via fibre-optic cable presents a logistical challenge.”

Video: Whamcloud is Back – Lustre Today and Future

Robert Triendl from DDN gave this talk at ISC 2018. “With their new Whamcloud Business Unit, DDN has already brought key Lustre developers on board to accelerate their high performance computing solutions. The acquisition also enables DDN to expand Lustre’s leading position from HPC and Exascale into high growth markets such as analytics, AI and hybrid cloud.”

Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity

This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more. 

Why Demand for In-Memory Computing Platforms Keeps Growing

The demand for in-memory computing (IMC) and new IMC platforms continues to grow. What’s pushing this growth as new products like the GridGain in-memory computing platform hit the market? Download the new white paper from GridGain that explores this topic and covers what’s next for in-memory computing.

Agenda Posted for ExaComm 2018 Workshop in Frankfurt

The ExaComm 2018 workshop has posted their Speaker Agenda. Held in conjunction with ISC 2018, the Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale takes place June 28 in Frankfurt. ” The goal of this workshop is to bring together researchers and software/hardware designers from academia, industry and national laboratories who are involved in creating network-based computing solutions for extreme scale architectures. The objectives of this workshop will be to share the experiences of the members of this community and to learn the opportunities and challenges in the design trends for exascale communication architectures.”

Why IMC Is Right for Today’s Fast-Data and Big-Data Applications

In-memory computing, or IMC, is being used for a variety of functions, including fintech and ecommerce to telecommunications and IoT, as it becomes well known for success with processing and analyzing big data.  Download the new report from GridGain, “Choosing the Right In-Memory Computing Solution,” to find out whether IMC is the right choice for your business. 

ScyllaDB Announces Support for IBM Power Systems for Real Time Big Data

Today real-time database company ScyllaDB announced a new Scylla Enterprise release with optimizations for IBM Power System Servers with the IBM POWER9 multi-core architecture. By combining Scylla’s highly performant, close-to-the-hardware design with next-generation IBM Power System Servers, organizations can reach new levels of performance while also reducing the footprint, cost and complexity of their systems. “ScyllaDB has designed a powerful distributed database that extends the performance advantages we’ve introduced with our multi-core POWER9 processors,” said Tim Vincent, IBM Fellow and Vice President of IBM Cognitive Systems. “The combination of the Scylla NoSQL database and our Power System Servers enables our shared customers to scale up their systems rather than continually scaling out, creating new opportunities for data center consolidation and price performance.”

In-Memory Computing: Addressing Emerging Data-Intensive Use Cases

This white paper from GridGain examines the factors contributing to increased demand, the innovative directions in which the industry is heading over the next decade, and how the Apache Ignite and the GridGain in-memory computing platforms are leading the way toward the in-memory computing systems of tomorrow. Download the new report from GridGain to get a handle on what’s in store for the in-memory computing market.