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Data Workflow Forum - Data Strategies for High Performance Computing

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Club Auto Sport

521 Charcot Avenue

San Jose, CA 95131

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HPC workflows are known for requiring Networking and Storage that can feed and optimize application workflows. To support the requirements of HPC workflows, Pure Storage recently introduced the Data Hub which helps you build a next generation data strategy. A data hub integrates the most important features of these four silos and unifies them into a single platform. A data hub must have four key characteristics:

  • High-throughput for both file and object storage. Backup and data warehouse appliances require massive throughput for mainstream, file-based workloads and cloud-native, object-based applications.

  • True scale-out design. The power of data lake is its native, scale-out architecture, which allows batch jobs to scale limitlessly as software -- not the user -- manages resiliency and performance.

  • Multi-dimensional performance. Data is unpredictable and can arrive at any speed – therefore, organizations need a platform that can process any data type with any access pattern.

  • Massively parallel. Within the computing industry, there has been a drastic shift from serial to parallel technologies, built to mimic the human brain, and storage must keep pace.

In this data workflow forum we will examine the one common HPC workflow around EDA and high-tech manufacturing. EDA is extremely file-centric and can involve creating, editing, and deleting millions of files. Add in concurrent workflows, and there can be billions of files in TBs of data, all rapidly changing. A challenge in these environments is protecting this data. Igneous helps customers scan, index, and move billions of files.

During this Data Workflow Forum, Ravi Poddar, Ph.D., the Director of HPC and EDA Solutions for Pure Storage, Paul Ferraro who was the Senior Director, IT Global Infrastructure Services for Qualcomm and Christian Smith, VP of Products at Igneous will discuss how modern data management solutions based on the Data Hub can accelerate HPC and EDA workflows.

During this exclusive event, you will:

  • Explore how you can optimize your infrastructure to accelerate EDA workflows
  • Learn how Broadcom has successfully implemented Pure Storage and Igneous solutions to reduce time to market on chip design
  • Discover how to optimize EDA concurrency with Pure Storage FlashBlade
  • Build a strategy to manage and protect billions of EDA files both on-premises and in the cloud
  • Learn how to leverage cloud, including Microsoft Azure, Amazon Web Services, and Google Cloud Platform, for EDA archive workflows

Drinks and small bites will be provided.

Who should attend

  • VP/Directors of Engineering, IC Design, Verification Engineers, Program Managers
  • VP/Directors of HPC, VP/Directors of Infrastructure and Operations, CIOs, Data Governance and Compliance leaders

Industry Keynote Speaker


Paul Ferraro -
Former Senior Director of Qualcomm IT
Paul Ferraro led IT innovation at Qualcomm, during his 26 years tenure, he helped them from grow from a mid-size enterprise to a global force in telecommunications and chip design. As the Senior Director, IT Global Infrastructure Services led a global application team of over 150 IT professionals that oversaw data management, storage, data protection, server management and virtual infrastructure services. He will provide his vision for the next generation of data and IT services.

Agenda

  • 3:30 pm Registration and Welcome Reception
  • 4:00 pm Data Workflow Forum
    • Introductions
    • Paul Ferraro - A Global Data Management Strategy for EDA
    • Dr. Ravi Poddar - Accelerating EDA Workflows
    • Christian Smith - How to Manage Billions of Unstructured Files
  • 5:15 pm Speaker Q&A and Drinks
  • 7:00 pm Wrap Up
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Club Auto Sport

521 Charcot Avenue

San Jose, CA 95131

View Map

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