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SQream teams with StorONE for High Performance Data Analytics

Today StorONE announced a joint solution with SQream that provides users with high-performance massive data analytics. “SQream is a data analytics engine, which rapidly integrates into existing Hadoop and legacy data warehouse ecosystems. SQream can process massive amounts of data with more dimensions, significantly faster and at lower cost than traditional solutions. The performance of the storage infrastructure is critical to the overall performance of SQream’s solution. SQream found that StorONE’s S1 Enterprise Storage Platform delivers the performance their software demands, at a price their customer can afford.”

Job of the Week: Network and Data Specialist at William & Mary

“William & Mary University in Virginia seeks qualified applicants for the position of Research Computing (RC) Network and Data Specialist to be responsible for day-to-day operations, maintenance and hardware support for all networking and file-systems serving RC systems. Systems include Linux-based clusters, departmental servers, and workstations under the control of RC. Network types include Ethernet, Infiniband, and Fibre Channel. File-systems utilize NFS, SMB/CIFS, and Lustre.”

Mellanox to Acquire Titan IC for Security and Data Analytics

Today Mellanox announced that it has reached a definitive agreement to acquire privately held Titan IC, the leading developer of network intelligence (NI) and security technology to accelerate search and big data analytics across a broad range of applications in data centers worldwide. The acquisition will further strengthen Mellanox’s network intelligence capabilities delivered through the […]

Bright Cluster Manager for Data Science Now Available at No Charge with Easy8

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.

Video: The Convergence of Big Data and Large-scale Simulation

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.”

Michela Taufer presents: Scientific Applications and Heterogeneous Architectures

Michela Taufer from UT Knoxville gave this talk at ATPESC 2019. “This talk discusses two emerging trends in computing (i.e., the convergence of data generation and analytics, and the emergence of edge computing) and how these trends can impact heterogeneous applications. This talk presents case studies of heterogenous applications in precision medicine and precision farming that expand scientist workflows beyond the supercomputing center and shed our reliance on large-scale simulations exclusively, for the sake of scientific discovery.”

Hyperion Research Expands Analyst Team

Today Hyperion Research announced that the company is staffing up with two new analysts for continuing growth and new business opportunities. The analyst firm provides thought leadership and practical guidance for users, vendors, and other members of the HPC community by focusing on key market and technology trends across government, industry, commerce, and academia.

Cray CS-Storm Supercomputer coming to HLRS in Germany

Today Cray announced that the High-Performance Computing Center of the University of Stuttgart (HLRS) in Germany has selected a new Cray CS-Storm GPU-accelerated supercomputer to advance its computing infrastructure in response to user demand for processing-intensive applications like machine learning and deep learning. “The Cray CS-Storm combined with the unique Cray-CS AI and Analytics suite will allow HLRS to better tackle converged AI and simulation workloads in the exascale era.”

Cortical.io Demonstrates Natural Language Understanding Inspired by Neuroscience

In this video, Cortical.io CEO Francisco Webber demonstrates how the company’s software running on Xilinx FPGAs breaks new ground in the field of natural language understanding (NLU). “Cortical.io delivers AI-based Natural Language Understanding solutions which are quicker and easier to implement and more capable than current approaches. The company’s patented approach enables enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text.”

Sandia Research Project turns Big Data into real-time, actionable intelligence

Researchers at Sandia National Labs are leading a project to deliver actionable information from streaming data to decision makers. While social media, cameras, sensors and more generate huge amounts of data that can overwhelm analysts, the project looks to provide crucial insight in real time. “Actionable intelligence is the next level of data analysis where analysis is put into use for near-real-time decision-making. Success on this research will have a strong impact to many time-critical national security applications.”