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Intel Skylake Comes to Google Cloud Platform

Today the Google Cloud Platform announced that it is the first cloud provider to offer the next generation Intel Xeon processor, codenamed Skylake. “Skylake includes Intel Advanced Vector Extensions (AVX-512), which make it ideal for scientific modeling, genomic research, 3D rendering, data analytics and engineering simulations. When compared to previous generations, Skylake’s AVX-512 doubles the floating-point performance for the heaviest calculations. In our own internal tests, it improved application performance by up to 30%.”

Video: Containerizing Distributed Pipes

Hagen Toennies from Gaikai Inc. presented these Best Practices at the 2017 HPC Advisory Council Stanford Conference. “In this talk we will present how we enable distributed, Unix style programming using Docker and Apache Kafka. We will show how we can take the famous Unix Pipe Pattern and apply it to a Distributed Computing System.”

Adrian Cockcroft Presents: Shrinking Microservices to Functions

In this fascinating talk, Cockcroft describes how hardware networking has reshaped how services like Machine Learning are being developed rapidly in the cloud with AWS Lamda. “We’ve seen the same service oriented architecture principles track advancements in technology from the coarse grain services of SOA a decade ago, through microservices that are usually scoped to a more fine grain single area of responsibility, and now functions as a service, serverless architectures where each function is a separately deployed and invoked unit.”

OpenFog Consortium Publishes Reference Architecture

The OpenFog Consortium was founded over one year ago to accelerate adoption of fog computing through an open, interoperable architecture. The newly published OpenFog Reference Architecture is a high-level framework that will lead to industry standards for fog computing. The OpenFog Consortium is collaborating with standards development organizations such as IEEE to generate rigorous user, functional and architectural requirements, plus detailed application program interfaces (APIs) and performance metrics to guide the implementation of interoperable designs.

Supercomputing the Hyperloop on Azure

Today Cycle Computing announced that the HyperXite team is using CycleCloud software to manage Hyperloop simulations using ANSYS Fluent on the Azure Cloud. “Our mission is optimize and economize the transportation of the future and Cycle Computing has made that endeavor so much easier, said Nima Mohseni, Simulation Lead, HyperXite. “We absolutely require a solution that can compress and condense our timeline while providing the powerful computational results we require. Thank you to Cycle Computing for making a significant difference in our ability to complete our work.”

Video: Singularity – Containers for Science, Reproducibility, and HPC

“Explore how Singularity liberates non-privileged users and host resources (such as interconnects, resource managers, file systems, accelerators …) allowing users to take full control to set-up and run in their native environments. This talk explores Singularity how it combines software packaging models with minimalistic containers to create very lightweight application bundles which can be simply executed and contained completely within their environment or be used to interact directly with the host file systems at native speeds. A Singularity application bundle can be as simple as containing a single binary application or as complicated as containing an entire workflow and is as flexible as you will need.”

Microsoft Releases Batch Shipyard on GitHub for Docker on Azure

“Available on GitHub as Open Source, the Batch Shipyard toolkit enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure Batch enables you to run parallel jobs in the cloud without having to manage the infrastructure. It’s ideal for parametric sweeps, Deep Learning training with NVIDIA GPUs, and simulations using MPI and InfiniBand.”

ANSYS Enterprise Cloud goes with Cycle Computing for HPC

“Our collaboration with Cycle Computing enables the ANSYS Enterprise Cloud to meet the elastic capacity and security requirements of enterprise customers,” said Ray Milhem, vice president, Enterprise Solutions and Cloud, ANSYS. “CycleCloud has run some of the largest Cloud Big Compute and Cloud HPC projects in the world, and we are excited to bring their associated, proven software capability to our global customers with the ANSYS Enterprise Cloud.”

Agenda Posted for Next Week’s HPC Advisory Council Stanford Conference

“Over two days we’ll delve into a wide range of interests and best practices – in applications, tools and techniques and share new insights on the trends, technologies and collaborative partnerships that foster this robust ecosystem. Designed to be highly interactive, the open forum will feature industry notables in keynotes, technical sessions, workshops and tutorials. These highly regarded subject matter experts (SME’s) will share their works and wisdom covering everything from established HPC disciplines to emerging usage models from old-school architectures and breakthrough applications to pioneering research and provocative results. Plus a healthy smattering of conversation and controversy on endeavors in Exascale, Big Data, Artificial Intelligence, Machine Learning and much much more!”

Univa Unisight 4.1 Software Informs IT Purchasing Decisions

Today Univa announced the general availably of its Unisight v4.1 product, providing simple and extensible metric collection for all types of Univa Grid Engine data including NVIDIA GPUs and Software Licenses. Unisight v4.1 is a comprehensive monitoring and reporting tool that provides Grid Engine cluster admins the ability to measure resource utilization and use facts to plan additional server and application purchases. “With Unisight v4.1, organizations take an important step toward improving data center automation choices by understanding infrastructure utilization and workflow,” said Fritz Ferstl, CTO and Business Development, EMEA at Univa. “With built-in reports, customers can monitor resource usage – including software license – to obtain the deep insights required to make informed long-term IT strategy and budget decisions from server architecture to memory requirements.”