Booth Session: Exhibitor Booth Sessions
Event TypeBooth Session
Location
Presentations | Amazon Web Services 1: High Performance Scaling with Elastic Fabric Adapter | | |
| Amazon Web Services 2: AWS ParallelCluster – Simplifying HPC Orchestration on AWS | | |
| Atos 1: Quantum Computing for Combinatorial Optimization | | |
| Atos 2: The Atos HPC Continuum – a Journey beyond Pure Performance – Atos 2 | | |
| Atos 3: The Atos AI: from Hype to Real-Field Implementations Today! – Atos 3 | | |
| Advanced Micro Devices: Advanced Micro Devices | | |
| Dell 1: HPC, IoT, Big Data, and AI Together for Better, Faster Decisions Everywhere | | |
| Dell 2: How the HPC and AI Innovation Lab Can Help You Get the Infrastructure You Need | | |
| Fujitsu Limited 1: Welcome to Fujitsu’s SC20 Booth | | |
| Fujitsu Limited 2: Fujitsu’s A64FX: The Fastest Arm-Based CPU for HPC and AI | | |
| General Dynamics 1: Physics Informed Machine Learning: an HPC Perspective | | |
| General Dynamics 2: Considerations for Transitioning HPC Weather Modeling to the Cloud | | |
| General Dynamics 3: Implementing Duo Two-Factor Authentication on an HPC System | | |
| General Dynamics 4: Accelerate Your Career – The Diverse Opportunities Offered by an HPC Systems Integrator | | |
| General Dynamics 5: The Business Case for Using an Impartial HPC Systems Integrator | | |
| General Dynamics 6: Real-World Scientific Use Cases for GPUs | | |
| Google 2: An Update on Google's Quantum Computing Initiative | | |
| Google 3: Clemson’s 2.1 Million vCPU Experiment | | |
| GRAPHCORE 1: The IPU-Machine M2000: IPU Compute at Data Center Scale | | |
| GRAPHCORE 2: Scalable IPU Machine Intelligence Systems | | |
| GRAPHCORE 3: IPU Interconnect at Scale | What is IPU-Fabric? | | |
| HPE: Where the HPC and AI Market Leader Goes from Here | | |
| IBM 1: Build Better Products Faster: Innovating with IBM Bayesian Optimization Accelerator | | |
| IBM 2: The Changing Needs of HPC for AI | | |
| Indiana University 1: High Performance Computing: Photon, Gryphon, and Acceleration | | |
| Indiana University 2: The Transition to Two - Jetstream to Jetstream2 | | |
| Indiana University 3: Future Generation Extreme Scale Computing Architecture for AI and ML | | |
| Intel Corporation 1: Delivering Exascale with Aurora | | |
| Intel Corporation 2: New Oracle/Intel HPC Cloud Infrastructure | | |
| Intel Corporation 3: Intel Xeon Ice Lake Security Innovations | | |
| Intel Corporation 4: Making Heads or Tails of Quantum Computing | | |
| Intel Corporation 5: Neuromorphic Computing at Intel Labs | | |
| Intel Corporation 6: Accelerate Workloads in Intel® DevCloud | | |
| Intel Corporation 7: Intel Ray Tracing Unleashed | | |
| Intel Corporation 8: Optane: Re-Architecting the Data Landscape | | |
| Intel Corporation 9: Intel Interconnect Technologies: Microns to Miles | | |
| Intel Corporation 10: oneAPI: for Cross-Architecture Application Performance | | |
| Intel Corporation 11: Intel’s Vision for Exascale Computing | | |
| Intel Corporation 12: Intel Optane Wins VMware 2020 Award | | |
| Intel Corporation 13: Analyze Heterogeneous Performance Across Architectures | | |
| Intel Corporation 14: Accelerating Heterogeneous Workloads Using Intel® Advisor | | |
| Intel Corporation 15: Use Intel® oneAPI MKL for Heterogeneous Development | | |
| Lenovo 1: Don’t Accept One-Size-Fits-All When It Comes to Analytics and AI | | |
| Lenovo 2: Developing AI with Lenovo Intelligent Computing Orchestration (LiCO) | | |
| Lenovo 3: Powering the Exascale Era With New Lenovo GPU-Rich Systems | | |
| Lenovo 4: Enabling Next-Gen, Data-Centric Workloads with DAOS | | |
| Lenovo 5: Liquid Cooling Innovation with Lenovo Neptune™ | | |
| Microsoft 1: HPC, AI, and the Cloud | | |
| Microsoft 2: Running Quantum Programs at Scale through an Open-Source, Extensible Framework | | |
| Microsoft 3: Azure HPC Software Overview | | |
| Microsoft 4: Accelerating Innovation with AI at Scale | | |
| Microsoft 5: Azure, AMD, and Customer Stories | | |
| Microsoft 6: Azure HPC Platform at a Glance | | |
| NetApp: Supercharge Your AI and High-Performance Computing (HPC) Workloads | | |
| Nvidia 1: NVIDIA Selene: Leadership-Class Supercomputing Infrastructure | | |
| Nvidia 2: HPC at the Speed of Light | | |
| Nvidia 3: Programming Accelerated HPC Systems in the Exascale Era | | |
| Oracle 1: Engineering in the Cloud | | |
| Oracle 2: The Next Generation for CFD | | |
| Oracle 3: Fastest File Servers in the World | | |
| Oracle 4: Enterprise HPC in the Cloud | | |
| Penguin Computing 1: Digital Transformation for HPC and AI | | |
| Penguin Computing 2: Penguin Computing 2 | | |
| Pure Storage: Flexing Muscles with Flash for Mega Scale HPC Metadata Workloads | | |
| Red Hat 1: NVIDIA GPU and Network Operator News Flash | | |
| Red Hat 2: Pushing Data Science to the Edge | | |
| Red Hat 3: Deploying Scientific Workloads on Red Hat OpenShift with the MPI Operator | | |
| Red Hat 4: Magnum IO: IO Subsystem for the Modern Data Center. | | |
| Red Hat 5: Achieve Massive Scalability for Data-Intensive Kubernetes Projects | | |
| Red Hat 6: Implementing an Automated X-Ray Images Data Pipelines, the Cloud-Native Way | | |
| Red Hat 7: AI/ML with OpenShift | | |
| Red Hat 8: Fast Track AI With Hybrid Cloud Powered by Kubernetes | | |
| Red Hat 9: OpenHPC 2.0: The Latest Community-Driven Technology Stack for HPC | | |
| Red Hat 10: Modern Container Runtimes for Exascale Computing Era | | |
| Samtec: Accelerating HPC Interconnect via Silicon-to-Silicon Solutions | | |
| Super Micro Computer Inc. 1: Advanced High-Performance Computing Systems to Find a Cure for COVID-19 — The Corona Supercomputer and Mammoth Project | | |
| Super Micro Computer Inc. 2: Deploying Liquid-Cooled Supercomputing Cluster at Scale in a Challenging Environment – The Ruby Project | | |
| Google 1: A Modern Infrastructure for Your High-Performance Computing Workloads | | |