The Prime Challenge launched by Microsoft Azure in November last year has come to an end with a user registered as PHunterLau being declared the winner. PHunterLau emerged as the winner after discovering a prime number that was over 342,000 digits long.
The post Azure Cloud Used to Discover Lost Prime Number with 342K Digits appeared first on insideHPC.
"Our vision is to deliver accelerated graphics and high performance computing to any connected device, regardless of location," said Jen-Hsun Huang, co-founder and CEO of NVIDIA. "We are excited to collaborate with Microsoft Azure to give engineers, designers, content creators, researchers and other professionals the ability to visualize complex, data-intensive designs accurately from anywhere."
The post NVIDIA GRID 2.0 comes to Microsoft Azure appeared first on insideHPC.
"With Azure, Microsoft makes it easy for Univa customers to run true performance applications on demand in a cloud environment," said Bill Bryce, Univa Vice President of Products. "With the power of Microsoft Azure, Univa Grid Engine makes work management automatic and efficient and accelerates the deployment of cloud services. In addition, Univa solutions can run in Azure and schedule work in a Linux cluster built with Azure virtual machines."
The post Univa Supports Dynamic Clusters on Microsoft Azure appeared first on insideHPC.
"Modeling and simulation have been the primary usage of high performance computing (HPC). But the world is changing. We now see the need for rapid, accurate insights from large amounts of data. To accomplish this, HPC technology is repurposed. Likewise the location where the work gets done is not entirely the same either. Many workloads are migrating to massive cloud data centers because of the speed of execution. In this panel, leaders in computing will share how they, and others, integrate tradition and innovation (HPC technologies, Big Data analytics, and Cloud Computing) to achieve more discoveries and drive business outcomes."
The post Dell Panel on the Convergence of HPC, Big Data, and Cloud appeared first on insideHPC.
Tejas Karmarkar from Microsoft presented this talk at SC15. "Azure provides on-demand compute resources that enable you to run large parallel and batch compute jobs in the cloud. Extend your on-premises HPC cluster to the cloud when you need more capacity, or run work entirely in Azure. Scale easily and take advantage of advanced networking features such as RDMA to run true HPC applications using MPI to get the results you want, when you need them."
The post Video: Microsoft Azure for Engineering Analysis and Simulation appeared first on insideHPC.
Today the UberCloud announced plans to support independent software vendors (ISVs) in Computer Aided Engineering (CAE) with its new go-to-cloud service for the Microsoft Azure cloud platform. The service consists of containerizing the software provider’s software, developing a Software as a Service (SaaS) cloud business model, utilizing and tuning the ISV’s application software on Azure, testing and evaluating the cloud offer, and conducting marketing and sales initiatives together with the ISV.
The post UberCloud Offers SaaS Service for ISVs on Microsoft Azure appeared first on insideHPC.
flyelephantToday the FlyElephant announced a number of upgrades that allow users to work with private repositories with an improved system security and good task functionality. "FlyElephant is a platform for scientists, providing a computing infrastructure for calculations, helping to find partners for the collaboration on projects, and managing all data from one place. FlyElephant automates routine tasks and helps to focus on core research issues."
The post FlyElephant Platform Adds Private Repositories appeared first on insideHPC.
The Intel Cloud Edition for Lustre* Software is now available on Microsoft’s Azure platform. Intel Cloud Edition for Lustre Software on Azure is a scalable, parallel file system designed as the working file system for HPC or other IO intensive workloads. Built for use with the virtualized compute instances available from Microsoft Azure scalable cloud infrastructure, it is designed for dynamic, pay-as-you-go applications.
The post Now on Azure: Intel Cloud Edition for Lustre* Software appeared first on insideHPC.
"Cycle Computing software leverages cloud resources to make computation in the cloud productive at any scale, by orchestrating workflows, managing data, balancing cloud options, and enabling users in a secure, controlled way. Our software works with public cloud providers like Amazon Web Services, Google Cloud Platform, and Microsoft Azure, as well as with internal and private cloud environments."
The post Video: Managing Large Production Cloud Deployments appeared first on insideHPC.
Rick Wagner from SDSC presented this talk at the the 4th Annual MVAPICH User Group. "At SDSC, we have created a novel framework and infrastructure by providing virtual HPC clusters to projects using the NSF sponsored Comet supercomputer. Managing virtual clusters on Comet is similar to managing a bare-metal cluster in terms of processes and tools that are employed. This is beneficial because such processes and tools are familiar to cluster administrators."
The post Video: User Managed Virtual Clusters in Comet appeared first on insideHPC.
"We are still in the first minutes of the first day of the Intelligence revolution. In this keynote, Dr. Joseph Sirosh will present 5 solutions (and their implementations) that the intelligent cloud delivers. Sirosh shares five cloud AI patterns that his team and presented at the Summit. These five patterns are really about ways to bring data and learning together in cloud services, to infuse intelligence."
The post Video: Azure – the Cloud Supercomputer for AI appeared first on insideHPC.
In this video from the Microsoft Ignite Conference, Tejas Karmarkar describes how to run your HPC Simulations on Microsoft Azure - with UberCloud container technology. "High performance computing applications are some of the most challenging to run in the cloud due to requirements that can include fast processors, low-latency networking, parallel file systems, GPUs, and Linux. We show you how to run these engineering, research and scientific workloads in Microsoft Azure with performance equivalent to on-premises. We use customer case studies to illustrate the basic architecture and alternatives to help you get started with HPC in Azure."
The post Slidecast: Running HPC Simulation Workflows in Microsoft Azure appeared first on insideHPC.
Today BIOS IT announced plans for their exhibit at SC16 in Salt Lake City. BIOS IT is will be showcasing the latest HPC solutions and services, including their converged cloud platform in partnership with vScaler Ltd. "vScaler gives our clients the ability to deploy and manage HPC environments with on demand parallel file system creation within their own datacenters and when demand dictates, off-premise as well,” Ian Mellett, General Manager at BIOS IT comments.
The post BIOS IT Collaborates with vScaler for HPC in the Cloud appeared first on insideHPC.
In this podcast, Jason Stowe from Cycle Computing provides an update on the world of HPC in the Cloud. After that, he describes how the company is augmenting its software capabilities so that more users can take advantage of HPC for their toughest computing challenges. “Our CycleCloud V6 further optimizes what is already unique about its predecessor, bringing unmatched scalability, provisioning, and data management in a secure process. We are extremely pleased to bring V6 to market.”
The post Podcast: How Cycle Computing is Riding the Wave of HPC in the Cloud appeared first on insideHPC.
"Run your Windows and Linux HPC applications using high performance A8 and A9 compute instances on Azure, and take advantage of a backend network with MPI latency under 3 microseconds and non-blocking 32 Gbps throughput. This backend network includes remote direct memory access (RDMA) technology on Windows and Linux that enables parallel applications to scale to thousands of cores. Azure provides you with high memory and HPC-class CPUs to help you get results fast. Scale up and down based upon what you need and pay only for what you use to reduce costs."
The post Video: Azure High Performance Computing appeared first on insideHPC.
Are you shopping for Public Cloud services? A new Public Cloud Services Comparison site gives a service & feature level mapping between the 3 major public clouds: Amazon Web Service, Microsoft Azure & Google Cloud. Published by Ilyas F, a Cloud Solution Architect at Xebia Group, the Public Cloud Services Comparison is a handy reference manual to help anyone to quickly learn the alternate features & services between clouds.
The post New Site Lists all Comparable Features from AWS, Azure, and Google Cloud appeared first on insideHPC.
"CUDA C++ is just one of the ways you can create massively parallel applications with CUDA. It lets you use the powerful C++ programming language to develop high performance algorithms accelerated by thousands of parallel threads running on GPUs. Many developers have accelerated their computation- and bandwidth-hungry applications this way, including the libraries and frameworks that underpin the ongoing revolution in artificial intelligence known as Deep Learning."
The post CUDA Made Easy: An Introduction appeared first on insideHPC.
“UberCloud has created an entire cloud computing ecosystem for complex technical simulations, leveraging cloud infrastructure providers, developing and utilizing middleware container technology, and bringing on board established and proven application software providers, all for the benefit of a growing community of engineers and scientists that need to solve critical technical problems on demand,” said Roland Manger, co-founder and Partner at Earlybird. “While technical computing has been slow to adopt the benefits of the Cloud, we are convinced that UberCloud can be a catalyst for change.”
The post UberCloud Obtains $1.7 Million in Pre-A Funding Round appeared first on insideHPC.
"Billed as an exposition into 'The Future of Cloud HPC Simulation,' the event brought together experts in high-performance computing and simulation, cloud computing technologists, startup founders, and VC investors across the technology landscape. In addition to product demonstrations with Rescale engineers, including the popular Deep Learning workshop led by Mark Whitney, Rescale Director of Algorithms, booths featuring ANSYS, Microsoft Azure, Data Collective, and Microsoft Ventures offered interactive sessions for attendees."
The post Video: Rescale Night Showcases HPC in the Cloud appeared first on insideHPC.
"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."
The post Microsoft Releases Batch Shipyard on GitHub for Docker on Azure appeared first on insideHPC.
