In this video from ISC 2018, Jeff Reser from SUSE describes how the company’s software enables High Performance Computing with HPC Modules, lower costs, and support for ARM.
SUSE Linux Enterprise for High Performance Computing provides a parallel computing platform for high performance data analytics workloads such as artificial intelligence and machine learning. Fueled by the need for more compute power and scale, businesses around the world today are recognizing that a high performance computing infrastructure is vital to supporting the analytics applications of tomorrow. This product is built for easy adoption across lower-cost Arm-based hardware all the way up to the largest supercomputers in the world – with a focus on flexibility and providing SUSE-supported capabilities (i.e., Slurm for workload management) for today’s HPC environments.
Key features include:
- Accelerated innovation with a broad ecosystem of hardware partners (including HPE, Cray, Lenovo and Arm) and software partners (including Microsoft, Bright Computing, Univa and the OpenHPC Community) delivering cohesive HPC stacks for the latest supercomputers
- High scalability and performance by utilizing Linux clustering and the power of parallel computing
- Highly efficient offering that runs on a wide range of hardware with enhanced management of HPC workloads
- SUSE-supported HPC module for x86-64 and ARM64, providing simple and reliable access to high-demand HPC capabilities such as Slurm for workload management
Jeff Reser currently drives SUSE product market strategy for SUSE Linux Enterprise Server for High Performance Computing, Real Time, z Systems & LinuxONE, High Availability & Geo Clustering, and Retail Point of Service – and has a wealth of experience in big data, cloud computing, and BPM solutions. Throughout his career, Jeff held a number of technical and management positions at IBM and was instrumental in leading and product managing IBM’s WebSphere Application Server – from its inception to an expanding and very successful portfolio of products.
