Course Calendar

Rich data sharing for HPC Users

04/22/2021 12:00 - 04/22/2021 12:45 PDT
webcast
Registration
Registration open date
03/23/2021 11:00 PDT
Registration close date
04/22/2021 11:00 PDT
Class size restriction
100 registrants

(35 spots left)

Waitlist

0 registrants

Contact Information
Contact
SDSC Training Info
Contact phone
8588225492
Contact email
training-info@sdsc.edu
Trainers
achouras
Location
Name
Phone
8588225492
URL
https://zoom-link-sent-via-email.org

HPC users have a recurring need to share preliminary and transient results with their collaborators. Often the collaborators either don’t have access to the HPC cluster or find it cumbersome to first access these systems, then subsequently find and fetch the shared information directly from the cluster. HPC users are then burdened to develop an ad-hoc data sharing mechanism that includes managing and updating results from cluster to their desktop and from desktop to another file sharing service and keeping everyone abreast on state-of-things. Furthermore, additional and often important information about the computation context is sent via emails. This spread of information between systems, people and services becomes harder to manage over time and creates impediments to research progress and collaboration.

This webinar will introduce HPCShare a web-based resource for SDSC’s HPC users to easily share light data (small/medium scale) and overcome pitfalls noted earlier. The webinar will provide hands on training to move, share, annotate and present your data to/from Expanse. Attendees will gain familiarity and practical know-how about the following:
1. Overview of SeedMeLab data management system
2. Registering and inviting collaborators on HPCShare
3. Usage from web browser – Data transfer, adding annotations, comments, sharing and inviting others)
4. Command line usage from Expanse – Data transfer, adding annotations, scripting
5. Usage & setup tips from other resources

About SeedMeLab
SeedMeLab is a branded scientific data management system for your project or lab. It is uniquely geared for research teams struggling with intractable data organization and data access. It was recognized with a 2020 R & D 100 award and is available as Open-Source software and a managed service.

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Posted: 03/23/2021 23:37 UTC