[RITL] Fw: Upcoming Expanse webinars: "Parallel Computing Concepts" & "Scientific Computing with Kubernetes"

[Chuck Forsyth]

FYI, These are both great. The talk by Igor will be relevant for any research workflows you might be thinking of using the Nautilus cluster as the resource.
It's free and has access to a TON of cutting-edge GPUs as well as lots of storage, CPUs, and memory.

Reach out to Victor or me if you want to learn more about the Nautilus cluster.

Regards,
Chuck

________________________________
From: Wong, Cindy <cwong at sdsc.edu>
Sent: Wednesday, September 7, 2022 12:07 PM
To: SDSC-Events <events at sdsc.edu>
Subject: Upcoming Expanse webinars: "Parallel Computing Concepts" & "Scientific Computing with Kubernetes"


Hello everyone!



After a short break this summer, we’re starting up our Expanse webinar series. We have two scheduled with the first one next Wednesday, September 14. We hope you can join us! Registration and details can be found below.



Parallel Computing Concepts with Robert Sinkovits
REGISTER TODAY! https://na.eventscloud.com/2022-09-parallel-computing-concepts

When: Wednesday, September 14, 2022 (next week)

Time: 11:00am – 12:00pm (Pacific Time)

Location: Zoom details will be provided a day prior to the event

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.



Scientific Computing with Kubernetes with Igor Sfiligoi
REGISTER TODAY! https://na.eventscloud.com/2022-10-kubernetes

When: Thursday, October 20, 2022

Time: 11:00am – 12:00pm (Pacific Time)

Location: Zoom details will be provided a day prior to the event

In this webinar we provide recipes for transitioning scientific workloads that currently run on traditional batch systems to Kubernetes systems. Kubernetes is batch-like in nature, but there are some differences that science users should be aware of. We will also briefly describe capabilities that are not found in traditional batch systems that can improve the effectiveness of scientific computing.



Best regards,

SDSC Events Team



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