From 6af5934c90be9323bd31b675331a7ea847cbb762 Mon Sep 17 00:00:00 2001 From: bernhold <426409+bernhold@users.noreply.github.com> Date: Wed, 18 Sep 2024 16:22:22 +0000 Subject: [PATCH] Adding new HPC-BP webinar event from the ideas-productivity.org website --- Events/hpcbp-088-inclusive-practices.md | 45 +++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 Events/hpcbp-088-inclusive-practices.md diff --git a/Events/hpcbp-088-inclusive-practices.md b/Events/hpcbp-088-inclusive-practices.md new file mode 100644 index 000000000..cc8062648 --- /dev/null +++ b/Events/hpcbp-088-inclusive-practices.md @@ -0,0 +1,45 @@ +# Webinar: Inclusive Practices and Software Project Productivity + +- Event Date: 2024-10-23 +- Location: Online +- Event Website: +- Organizers: The IDEAS Productivity Project + + + +This event is a part of the "Best Practices for HPC Software +Developers" webinar series, produced by the [IDEAS Productivity](https://ideas-productivity.org/) +family of projects. The HPC Best Practices webinars address issues faced by +developers of computational science and engineering (CSE) software on +high-performance computers (HPC) and occur approximately monthly. + + +Resource Information | Details +:--- | :--- +Webinar Title | Inclusive Practices and Software Project Productivity +Date and Time | 2024-10-23 1:00 pm - 2:00 pm EDT +Presenter | Mark C Miller (Applications, Simulations and Quality Division, Lawrence Livermore National Lab) +Registration, Information, and Archives | +Presentation Language | English + +**Webinars are free and open to the public, but advance registration is required through the Event website. Archives (recording, slides, Q&A) will be posted at the same link soon after the event, and all registrants will be notified.** + +### Abstract + +

The productivity of projects in high-performance computing (HPC) and computational science and engineering (CSE) is significantly impacted by the ability of large, multidisciplinary teams to work together—to collaborate ethically and trustfully, to communicate with clarity and empathy, and to be inspired to contribute authentically and with enthusiasm and thoughtfulness. Inclusivity and inclusive practices play key roles in facilitating all of that and more. Likewise, the lack of attention to inclusivity and inclusive practices can dramatically negatively impact scientific productivity. Topics central to diversity, equity, and inclusivity such as gender identity, sexual harassment, and racism can sometimes overshadow our perception of many other dimensions to inclusivity such as neurodivergence (15-20% prevalence), mobility impairment (16%), handedness (10%), dyslexia/dyscalculia (3-7%), color vision deficiency (5%) or other visual impairment (1%-40%) or hearing impairment (15%) to name a few. Inclusivity and inclusive practices can play a role in improving almost every aspect of a scientific computing project. The benefits of inclusive practices include reducing barriers to adoption, increasing a product’s reach, improving productivity, increasing innovation, attracting and retaining a wider talent pool, and improving job satisfaction. This presentation will outline a long list of concrete, inclusive practices that scientific computing projects can easily incorporate into existing activities and plans, which will have a positive impact on productivity and sustainability. If logistics permit, we’ll end with in a short Kahoot! game to inspire further dialog.

+ +### Presenter + +- Mark C Miller (Applications, Simulations and Quality Division, Lawrence Livermore National Lab) + +### Presenter Bio + +

Mark C Miller has participated in the development of a number of scientific database and data modeling technologies, including Silo, ASCI-DMF, HDF5, ITAPS and most recently the MACSio scalable I/O proxy application. Mark has been the lead developer of Silo since the late 90’s, supporting scalable I/O requirements of LLNL HPC simulation codes, including ALE3D, Kull, Ares, LASNEX, Overlink and VisIt. Mark’s expertise includes data models and their impact on software interoperability, high-performance I/O, and software quality engineering for HPC libraries. Mark is passionate about the history of computing and the role of inclusion in the success of scientific computing projects.

+ +#### Contributed by [Mark C Miller](https://github.com/markcmiller86) + + +