Register Today! Two upcoming webinars on "Parallel Computing Concepts" & "Scientific Computing with Kubernetes."

08-24-2022

Parallel Computing Concepts
Wednesday, September 14, 2022
11:00 AM – 12:00 PM PDT
Instructor: Robert Sinkovits, Director of Scientific Computing Applications, SDSC

Please register at https://na.eventscloud.com/2022-09-parallel-computing-concepts

All users of advanced cyberinfrastructure, whether they develop their own software or use 3rd party applications, should understand fundamental parallel computing concepts. In this webinar we cover supercomputer architectures, the differences between threads and processes, implementations of parallelism (e.g., OpenMP and MPI), strong and weak scaling, limitations on scalability (Amdahl’s and Gustafson’s Laws) and benchmarking. We also discuss how to choose the appropriate number of compute cores or nodes when running your applications and, when appropriate, the best balance between threads and processes. This webinar does not assume any programming experience and is suited for a wide audience, including current and prospective users of parallel computers, anyone who expects to write a proposal for computer time or those who are simply curious about parallel computing.

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Scientific Computing with Kubernetes
Thursday, October 20, 2022
11:00 AM – 12:00 PM PDT
Instructor: Igor Sfiligoi, Lead Scientific Software Developer and Researcher, SDSC

Please register at https://na.eventscloud.com/2022-10-kubernetes

Kubernetes is a popular container orchestration system that has seen massive adoption in both industry and academic IT departments. Long available in the Clouds, it has recently also become the main interface for several deployed and upcoming large-scale scientific compute facilities. The aim of this webinar is to provide science users that currently rely on traditional batch systems, like SLURM and HTCondor, a solid foundation that will allow them to effectively use Kubernetes-managed resources. The main focus is enabling the porting of batch-oriented scientific workflows, but we will also cover additional Kubernetes concepts not typically present in batch systems that could potentially be useful for science users.

To see more SDSC related training and events, please visit https://www.sdsc.edu/education_and_training/training_hpc.html

If you have questions regarding our training events, please contact events@sdsc.edu.