BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Spectrum Scale User Group - ECPv6.15.10//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.spectrumscaleug.org X-WR-CALDESC:Events for Spectrum Scale User Group REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20190331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20191027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20200329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20201025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20210328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20211031T010000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/London:20201104T161500 DTEND;TZID=Europe/London:20201104T174500 DTSTAMP:20260407T053435 CREATED:20201008T085002Z LAST-MODIFIED:20220128T180743Z UID:2079-1604506500-1604511900@www.spectrumscaleug.org SUMMARY:SSUG::Digital: 008 - Scalable multi-node training for AI workloads on NVIDIA DGX\, Red Hat OpenShift and IBM Spectrum Scale DESCRIPTION:Nvidia and IBM did a complex proof-of-concept to demonstrate the scaling of AI workload using Nvidia DGX\, Red Hat OpenShift and IBM Spectrum Scale at the example of ResNet-50 and the segmentation of images using the Audi A2D2 dataset. The project team published an IBM Redpaper with all the technical details and will present the key learnings and results. \n \n \n \n \n \n \n \n \n \n \n  \nDownload slides here \nRelated material\n\nIBM Redpaper: Deployment and Usage Guide for Running AI Workloads on Red Hat OpenShift and NVIDIA DGX Systems with IBM Spectrum Scale\nEpisode 6: Persistent Storage for Kubernetes and OpenShift environments\n\nUser group host: Bob Oesterlin\nSpeakers:\n\n\n\n\n Speaker NamePhotoBio\n\n\n\n\n Thomas SchoenemeyerThomas Schoenemeyer is a Senior Solution Architect and works for the NVIDIA EMEA Automotive Enterprise Team in Munich since March 2019. His area of expertise covers defining the computing architecture and infrastructure for the development of autonomous vehicles. He is helping customers to solve their technical challenges by integrating NVIDIA datacenter products such as the DGX family\, the DriveSim/Constellation and NVIDIA Mellanox Networking solutions. \n\n\n Gero SchmidtGero Schmidt is a Software Engineer at IBM Germany Research and Development GmbH in the IBM Spectrum Scale development group.\nHe joined IBM in 2001 working at the European Storage Competence Center in Mainz\, Germany\, providing technical presales support for a broad range of IBM storage products with a primary focus on enterprise storage solutions\, system performance\, and IBM POWER systems. He participated in the product rollout of the IBM System Storage DS6000/DS8000 series\, co-authored several IBM Redbooks and has been a frequent speaker at IBM international conferences. In 2015 he joined the storage research group at the IBM Almaden Research Center in California\, USA\, where he worked on IBM Spectrum Scale\, compression of genomic data in next generation sequencing pipelines\, and the development of a cloud-native backup solution for containerized applications in Kubernetes/Red Hat OpenShift. In 2018 Gero joined the Big Data & Analytics team in the IBM Spectrum Scale development group.\n\n\n Simon LorenzSimon Lorenz is an IT Architect at IBM Research and Development in Frankfurt\, Germany. He joined IBM Germany in 1993 and has held various positions within IBM and IBM Research and Development. During international assignments\, he helped to improve fully automated chip factories in Asia and US. Simon joined the IBM Spectrum Scale development team in 2014 and since then worked on: Openstack Swift integration\, designing and building System Health and Proactive Services solutions. Since March 2019 he is the world wide leader of the IBM Spectrum Scale Big Data and Analytics team. His role includes designing and building solutions in the area of AI such as the Data Accelerator for AI and Analytics. URL:https://www.spectrumscaleug.org/event/ssugdigital-multi-node-training-for-ai-workloads/ LOCATION:Digital Event CATEGORIES:Expert Talks END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20201116T110000 DTEND;TZID=America/New_York:20201116T123000 DTSTAMP:20260407T053435 CREATED:20201029T165331Z LAST-MODIFIED:20201108T184703Z UID:2102-1605524400-1605529800@www.spectrumscaleug.org SUMMARY:SC20 Meeting (Session 1): Storage for AI DESCRIPTION:The Spectrum Scale user group meets annually at the SC conference. For 2020 the user group will be split into two 90 minute digital sessions. The second session will be on Wednesday Nov 18th\, 11 am EST\n>> Session 2: What is new in Spectrum Scale 5.1? << \nThis session will focus on Storage for AI including a customer case study and a deep dive in new Spectrum Scale features which optimize the analysis of datasets stored in a data lake. Live Q&A will be available.\nThe session will be hosted by IBM and moderated by the user group.\n>> Please register here to join the session. << \nContinental: Deep Thought – An AI Project for Autonomous Driving Development \nContinental\, a tier-1 automotive supplier\, runs a new high-performance cluster based on NVIDIA DGX\, IBM Spectrum Scale and IBM ESS to boost autonomous driving development performance. Continental uses this system for deep learning\, simulation\, virtual data generation and related workloads. The new cluster reduces development time from weeks to hours. Speakers from Continental and the business partner SVA will present business requirements and derived workloads\, the Spectrum and ESS implementation\, and first operational experience. \nhttps://www.continental.com/en-us/press-/press-releases/continental-supercomputer-nvidia-228624 \nData Accelerator for AI and Analytics (DAAA) \nThis talk focuses on the need of data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data increases steadily\, AI workloads need to speed up in order to be able to deliver insights and business value in a timely manner. IBM addresses these requirements with the Data Accelerator for AI and Analytics (DAAA)\, an expertly engineered solution based on new features delivered with Spectrum Scale 5.1. The session will include a demo of a complex proof-of-concept and present the key learnings and results. URL:https://www.spectrumscaleug.org/event/sc20-meeting-session-1-storage-for-ai/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/London:20201116T160000 DTEND;TZID=Europe/London:20201116T170000 DTSTAMP:20260407T053435 CREATED:20201119T173002Z LAST-MODIFIED:20220128T180727Z UID:2151-1605542400-1605546000@www.spectrumscaleug.org SUMMARY:SSUG::Digital: 009 - Deep Thought: An AI Project for Autonomous Driving Development DESCRIPTION:Continental\, a tier-1 automotive supplier\, runs a new high-performance cluster based on NVIDIA DGX\, IBM Spectrum Scale and IBM ESS to boost autonomous driving development performance. Continental uses this system for deep learning\, simulation\, virtual data generation and related workloads. The new cluster reduces development time from weeks to hours. Speakers from Continental and the business partner SVA will present business requirements and derived workloads\, the Spectrum and ESS implementation\, and first operational experience. \n \n \n \n \n \n \n \n \n \n \n  \nDownload slides here \nQ&A\nDid Continental ever look at Spectrum Discover for tagging? Any feedback on pros/cons for its usefulness at Continental?\nWe did not have a chance to look into Spectrum Discover. \nRelated material\n\nContinental: Automotive supercomputer\nContinental press release\n\nUser Group Host: Bill Anderson\nSpeaker\n\n\n\n\n Speaker NamePhotoBio\n\n\n\n\n David EnenkelDavid Enenkel is the Head of IT Operations at Continental - ADC GmbH. He has over 20 years of IT-Infrastructure experience and moved into the area of ADAS 2\,5 years ago. He and his team are supporting the ADC engineers to find and establish feasible IT solutions/services for the specific ADAS demands as well as operating the platforms and data centers. He led the Supercomputer project as the IT project manager and is happy to give an insight into all ups and downs building up such an environment.\n\n\n Viktor PálViktor Pál is working as a Deep Learning Infrastructure Architect at Continental and is currently also acting as Technical Team Lead. He has more than 14 years of IT Infrastructure experience and started working at Continental two years ago. Viktor and his team are supporting AI development by designing\, implementing and operating the environment that enables Deep Learning at Continental. He contributed to the Supercomputer project as a Solution Architect and he will talk about the challenges of AI Infrastructure as Code.\n\n\n Jochen ZellerJochen is IT Architect at www.sva.de. He has more than 20 years of IT experience\, is part of the SVA IT Architects team and technical leader of the Spectrum Scale team. His Spectrum Scale and infrastructure projects span various industries and fields\, such as HPC\, health care\, autonomous driving\, banking\, insurance\, etc. When he is not working with his customers\, he sits in his glider and flies away - at least in summer. URL:https://www.spectrumscaleug.org/event/ssugdigital-deep-thought-an-ai-project-for-autonomous-driving-development/ LOCATION:Digital Event CATEGORIES:Expert Talks END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/London:20201116T170000 DTEND;TZID=Europe/London:20201116T180000 DTSTAMP:20260407T053435 CREATED:20201119T204741Z LAST-MODIFIED:20220128T180701Z UID:2157-1605546000-1605549600@www.spectrumscaleug.org SUMMARY:SSUG::Digital: 010 - Data Accelerator for Analytics and AI (DAAA) DESCRIPTION:This talk focuses on the need of data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data increases steadily\, AI workloads need to speed up in order to be able to deliver insights and business value in a timely manner. IBM addresses these requirements with the Data Accelerator for AI and Analytics (DAAA)\, an expertly engineered solution based on new features delivered with Spectrum Scale 5.1. The session will include a demo of a complex proof-of-concept and present the key learnings and results. \n \n \n \n \n \n \n \n \n \n \n  \nDownload slides here \nRelated material\n\nRedpaper: Data Accelerator for Analytics and AI (DAAA)\n\nUser Group Host: Bill Anderson\nSpeakers\n\n\n\n\n Speaker NamePhotoBio\n\n\n\n\n Simon LorenzSimon Lorenz is an IT Architect at IBM Research and Development in Frankfurt\, Germany. He joined IBM Germany in 1993 and has held various positions within IBM and IBM Research and Development. During international assignments\, he helped to improve fully automated chip factories in Asia and US. Simon joined the IBM Spectrum Scale development team in 2014 and since then worked on: Openstack Swift integration\, designing and building System Health and Proactive Services solutions. Since March 2019 he is the world wide leader of the IBM Spectrum Scale Big Data and Analytics team. His role includes designing and building solutions in the area of AI such as the Data Accelerator for AI and Analytics.\n\n\n Gero SchmidtGero Schmidt is a Software Engineer at IBM Germany Research and Development GmbH in the IBM Spectrum Scale development group.\nHe joined IBM in 2001 working at the European Storage Competence Center in Mainz\, Germany\, providing technical presales support for a broad range of IBM storage products with a primary focus on enterprise storage solutions\, system performance\, and IBM POWER systems. He participated in the product rollout of the IBM System Storage DS6000/DS8000 series\, co-authored several IBM Redbooks and has been a frequent speaker at IBM international conferences. In 2015 he joined the storage research group at the IBM Almaden Research Center in California\, USA\, where he worked on IBM Spectrum Scale\, compression of genomic data in next generation sequencing pipelines\, and the development of a cloud-native backup solution for containerized applications in Kubernetes/Red Hat OpenShift. In 2018 Gero joined the Big Data & Analytics team in the IBM Spectrum Scale development group. URL:https://www.spectrumscaleug.org/event/ssugdigital-data-accelerator-for-analytics-and-ai-daaa/ LOCATION:Digital Event CATEGORIES:Expert Talks END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20201118T110000 DTEND;TZID=America/New_York:20201118T123000 DTSTAMP:20260407T053435 CREATED:20201029T165923Z LAST-MODIFIED:20201108T185709Z UID:2106-1605697200-1605702600@www.spectrumscaleug.org SUMMARY:SC20 Meeting (Session 2): What is new in Spectrum Scale 5.1? DESCRIPTION:The Spectrum Scale user group meets annually at the SC conference. For 2020 the user group will be split into two 90 minute digital sessions. The first session will be on Monday Nov 16th\, 11 am EST.\n>> Session 1: Storage for AI << \nThis session will focus on recent enhancements in Spectrum Scale followed by an open discussion. Live Q&A will be available.\nThe session will be hosted by IBM and moderated by the user group.\n>> Please register here to join the session. << \nWhat is new in Spectrum Scale 5.1?\nSpectrum Scale is a highly scalable\, high-performance storage solution for file and object storage. IBM continues to enhance Spectrum Scale performance\, in response to recent hardware advancements and evolving workloads. This talk will discuss key enhancements delivered with Spectrum Scale 5.1 including Fileset QoS\, AFM to object storage\, NFSv4.1 support\, IPv6 for Cluster Export Services (CES)\, and integration with ESS 3000 and ESS 5000. \nAsk us anything\nThe second half of this session will be used for an open discussion between the users and IBM. Senior leaders of Spectrum Scale development and program management will be available. URL:https://www.spectrumscaleug.org/event/sc20-meeting-session-2-what-is-new-in-spectrum-scale-5-1/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/London:20201118T160000 DTEND;TZID=Europe/London:20201118T170000 DTSTAMP:20260407T053435 CREATED:20201119T212100Z LAST-MODIFIED:20220128T180640Z UID:2162-1605715200-1605718800@www.spectrumscaleug.org SUMMARY:SSUG::Digital: 011 - What is new in Spectrum Scale 5.1? DESCRIPTION:Spectrum Scale is a highly scalable\, high-performance storage solution for file and object storage. IBM continues to enhance Spectrum Scale performance\, in response to recent hardware advancements and evolving workloads. This talk will discuss key enhancements delivered with Spectrum Scale 5.1 including Fileset QoS\, AFM to object storage\, NFSv4.1 support\, IPv6 for Cluster Export Services (CES)\, and integration with ESS 3000 and ESS 5000. \n \n \n \n \n \n \n \n \n \n \nDownload slides here \nRelated material\n\nEpisode 10: Data Accelerator for Analytics and AI (DAAA)\nEpisode 12: Event driven data management and security using Spectrum Scale Clustered Watch Folder and File Audit Logging\nEpisode 1: What is new in Spectrum Scale 5.0.5?\n\nUser Group Host: Kristy Kallback-Rose\nSpeaker\n\n\n\n\n Speaker NamePhotoBioSocial connections\n\n\n\n\n Chris MaestasChris is an Executive Architect for IBM File and Object Storage Solutions with over 25 years of experience deploying and designing IT systems for clients in various spaces. He has experience scaling performance and availability with a variety of file systems technologies. He has developed benchmark frameworks to test out systems for reliability and validate research performance data. He also has led global enablement sessions online and face to face where discussing how best to position mature technologies like Spectrum Scale with emerging technologies in Cloud\, Object\, Container or AI spaces.Twitter: @cdmaestas\nLinkedIn: https://www.linkedin.com/in/cdmaestas\n\n\n Ismael Solis MorenoIsmael works in the Spectrum Scale development team in Guadalajara Mexico as a data scientist and performance analyst. He is responsible for evaluating Spectrum Scale's new features and releases performance. Part of his role is to analyze datasets to identify points of performance improvement providing insights to the development teams.LinkedIn: https://www.linkedin.com/in/ismaelsm\n\n\n\n\n  \n  URL:https://www.spectrumscaleug.org/event/ssugdigital-what-is-new-in-spectrum-scale-5-1/ LOCATION:Digital Event CATEGORIES:Expert Talks END:VEVENT END:VCALENDAR