Want to drive innovation and speed up scientific workloads? It starts with the network.

Complex workloads and extreme datasets are placing enormous demands on supercomputing infrastructures. In addition, cloud providers hosting scientific workloads require their infrastructures to deliver bare-metal performance. All of these complexities require a best-in-class networking platform, that’s programmable, and includes hardware acceleration engines to provide faster time to insight.

Join Hyperion Research, NVIDIA and experts from Microsoft Azure, Ohio State University and Max Planck Computing and Data Facility (MPCDF) for a live discussion on using InfiniBand, In-Network Computing and the capabilities of the DPU to boost performance and drive your scientific computing innovation.

By attending this webinar you’ll learn how:

How BlueField DPUs can offload communication frameworks and increase application performance

How BlueField DPUs enable adaptive performance isolations, ensuring bare-metal performance for scientific workloads

How the NVIDIA Quantum-2 InfiniBand networking platform empowers supercomputing and cloud data centers with advanced In-Network Computing acceleration engines, and the fastest speeds and feeds up to 400Gb/s

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Speakers

Gilad Shainer

Senior Vice Persident of Networking, NVIDIA

Norm Marks is senior director responsible for driving NVIDIA’s global Automotive industry enterprise go-to-market strategy. Marks is focused on establishing areas of application for how deep learning, data science and artificial intelligence, enabled by a new GPU computing revolution, will transform the Automotive and Transportation industry. He speaks frequently on topics around Autonomous Vehicles ranging from AI / Deep Learning, Data Factory, Validation, Simulation and RePlay, as well as the Connected Vehicle, Smart Mobility and Connected Factory.

Marks earned his Bachelor of Science degree in Business Administration from Bowling Green State University, and continued his studies, completing the rigorous Executive Management Program at Stanford’s Graduate School of Business.

Earl Joseph

Chief Executive Officer of Hyperion Research, Hyperion Research

Earl Joseph, Chief Executive Officer of Hyperion Research, drives research and consulting efforts associated with the United States, Europe and Asia-Pacific markets for technical servers and supercomputers. Dr. Joseph advises Hyperion Research clients on the competitive, managerial, technological, integration and implementation issues for technical servers. Dr. Joseph is also heading up Hyperion Research's high-end HPC user forum activities. Dr. Joseph's areas of expertise include technical computers from entry-level servers to high-end capability supercomputers, software, storage and networking solutions for technical computing. He has worked for four technical computing companies in multiple marketing and R&D roles. Dr. Joseph has a strong background in computer technologies and future directions in technical computing. Dr. Joseph has recently worked closely with the leading HPC users around the world on their current and future market requirements. Dr. Joseph holds a Ph.D. from the University of Minnesota where his research focus was the strategic management of high technology firms, and an undergraduate degree in business and technology from the University of Minnesota.

Mark Nossokoff

Research Director, Hyperion Research

Mark Nossokoff, Research Director, has over 30 years of experience in the data storage technology field and directs his research and consulting efforts in the associated areas. Mr. Nossokoff’s experience includes hardware design, application engineering, product marketing, product management and strategic planning and co-inventor of (four) patents. Before joining Hyperion Research, Mr. Nossokoff worked primarily in the OEM Storage B2B market and holds degrees from Purdue University (BSEE) and Wichita State University (MBA).

Prof. Dhabaleswar K (DK) Panda

Distinguished Scholar of Computer Science & Engineering, Ohio State University

DK Panda is a Professor and University Distinguished Scholar of Computer Science and Engineering at the Ohio State University. He is also the Founder and CEO of X-ScaleSolutions. He has published over 500 papers in the areas of high-end computing and networking. The MVAPICH2 (High Performance MPI and PGAS over InfiniBand, Omni-Path, iWARP, RoCE, and EFA) libraries, designed and developed by his research group (http://mvapich.cse.ohio-state.edu), are currently being used by more than 3,150 organizations worldwide (in 89 countries). More than 1.3M downloads of this software have taken place from the project's site. This software is empowering several InfiniBand clusters (including the 4th, 9th, 14th, 21st, and 22nd ranked ones) in the TOP500 list. The RDMA packages for Apache Spark, Apache Hadoop, Memcached, and MPI4Dask together with OSU HiBD benchmarks from his group (http://hibd.cse.ohio-state.edu) are also publicly available. These libraries are currently being used by more than 340 organizations in 38 countries. More than 39,000 downloads of these libraries have taken place. High-performance and scalable solutions for Deep Learning and Machine Learning on modern CPU and GPU clusters are available from https://hidl.cse.ohio-state.edu. Prof. Panda is an IEEE Fellow. More details about Prof. Panda are available at http://www.cse.ohio-state.edu/~panda.

Jithin Jose

Principal Software Engineer, Microscoft Azure

Jithin Jose is a principal software engineer at Microsoft Azure HPC. His work is focused on co-design of software and hardware building blocks for high performance computing platform, and designing communication runtimes that seamlessly expose hardware capabilities to programming models and middleware. Jithin's research interests include high-performance interconnects and protocols, parallel programming models, and cloud computing. He has published more than 25 papers in major peer-reviewed journals and international conferences related to these areas. Jithin received his Ph.D. in computer science from The Ohio State University.

Dr. Sebastian Ohlmann

Senior HPC Expert, The Max Planck Computing and Data Facility (MPCDF)

Sebastian Ohlmann received his PhD in Physics 2016 from Heidelberg University, for which he used simulations with an HPC hydrodynamics code to understand the astrophysics of stellar mergers. After an additional Postdoc stay there, he went to the Max Planck Computing and Data Facility, the central computing center of the Max Planck Society, which supports scientists from Germany's largest fundamental research organisation. As a member of the application support group, he collaborates with domain scientists on their HPC codes to implement new features, to optimize their codes, and to port them to new architectures. In addition, he likes to explore current software and hardware developments in HPC to continuously offer a productive computing environment to the scientists.

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Speakers

Gilad Shainer

Earl Joseph

Mark Nossokoff

Prof. Dhabaleswar K (DK) Panda

Jithin Jose

Dr. Sebastian Ohlmann

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