This is a great way to start, or get better at, a career in helping researchers use research computing.
It's also a great way to meet a community of fellow research computing facilitators.
We'll have *some* funding to help *some* onsite participants cover some or all of their costs, but that funding may be limited.
(Still, it's better to request support and then *maybe* not get it, than not request it and then *definitely* not get it.) We're already over 180 registrations, from over 120 institutions in 41 US states and territories and 4 other countries, including over 40 new institutions. So far, the Virtual Residency has served, or is now scheduled to serve, over 300 institutions across the US and in 9 other countries around the world, including: * research universities, among them: -- 6 of the 8 Ivy League institutions, -- 8 of the Top 10 (US News rankings) (80%), -- 18 of the Top 25 (72%), -- 39 of the Top 50 (78%), -- 72 of the Top 100 (72%), -- 107 of the Top 150 (71%), -- 125 of the Top 200 (62%); * 71 primarily undergraduate and other non-Ph D-granting academic institutions, including: -- 63 non-Ph D-granting 4-year institutions, -- 5 community colleges, -- 3 high schools; * 44 minority serving institutions; * 84 institutions in 25 of 26 EPSCo R jurisdictions; * 14 government agencies (federal, state, non-US); * 8 private companies; * 12 non-profit/non-governmental organizations.
For people who help researchers to use research computing, it's such a great way to get better at it, and for new people, it's such a great way to learn how to do it!
And, everyone who participates becomes part of a community of research computing facilitators, already over 500 people -- plenty of colleagues to get help from, when someone's stumped on how to help their researchers.
DETAILS: Does your institution have lots of researchers and educators who want to use advanced computing, but need some help learning how?
You or someone at your institution can learn to be more effective at helping researchers and educators use research computing!
Our message is that efficient algorithms (binary search and mergesort, in this case) are a key ingredient in addressing computational problems with scalable solutions that can handle huge instances, and that the scientific method is essential in evaluating the effectiveness of such solutions.
Our introduction to data structures is a careful look at the fundamental stack and queue abstractions, including performance specifications.