SSUG::Digital: 019 – Spectrum Scale Performance Improvements

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 presentation will discuss performance related improvements in  Spectrum Scale 5.X versions focusing on enhancements made in support of AI and HPC use cases, including improvements for IO 500 performance benchmark, improvements to RDMA to select NUMA aware adapters and more.

Download slides here

Recordings will be made available soon

User Group Host: Kristy Kallback-Rose

Speakers:

Speaker Name	Photo	Bio
John Lewars		John Lewars is a Senior Technical Staff Member leading performance engineering work in the IBM Spectrum Scale development team. He has been with IBM for over 20 years, working first on several aspects of IBM's largest high performance computing systems, and later on the IBM Spectrum Scale (formerly GPFS) development team. John's work on the Spectrum Scale team includes working with large customer deployments and improving network resiliency, along with co-leading development of the team's first public cloud and container support deliverables.
Jay Vaddi		Jay Vaddi is a Storage Performance Engineer at IBM Tucson, AZ. He has been with IBM and the performance team for over five years. His focus is primarily on performance analysis and evaluations of IBM Spectrum Scale and IBM Elastic Storage System products.
Olaf Weiser		Olaf works with GPFS for over 15 years now. He started his GPFS career in one of the worlds biggest telecommunication companies as a technical administrator. Since more than 10 years, Olaf is with IBM as storage consultant and performance specialist. Recently, he joined IBM Research and Development and works on enhancements in Spectrum Scale to adopt client and customer's needs in the product.
Pidad D'Souza		Pidad D'Souza is a System Architect specializing in performance engineering of IBM Spectrum Scale and IBM POWER systems. He has been with IBM for over 17 years, leading system performance engineering of GPU accelerated systems designed for applications in the fields of AI & HPC. He has presented extensively at several international conferences, and delivered customer workshops and lab sessions.