2019 Workshop:Software Engineering for Heliophysics
Software Engineering for Heliophysics
Location, Date/Time and Duration
- Altitudes: all
- Latitudes: global
Format of the Workshop
Requested Specific Days
non-conflicting time with Python for Space Science and "Hackathon"
Special technology requests
tables so attendees can use laptops. WiFi.
ST #5: Fuse the Knowledge Base across Disciplines
- Good software engineering practices expedite reliable, repeatable science results and encourage diverse outside collaborator participation. Repeatable, traceable science analyses are better trusted and solidify community and stakeholder confidence in published results.
- Software sharing / collaboration sites like GitHub have matured and are widely used by the heliophysics community. We address minor changes in practice that reduce time to science closure.
- Progress is readily measured by semi-automated metrics such as:
- quantity and diversity (institutional, geographical, participant) of code contributions and issues opened
- an increase in the use of continuous integration facilities such as Travis-CI
- increased use of public data sharing such as Zenodo
ST #6: Manage, Mine, Manipulate Geoscience Data and Models
- Increased scientific computing efficiencies are essential for computer-aided discovery of the growing petabytes of data collected. Extracting value from the decades of diverse existing data sources can be greatly aided by more efficient software engineering practices
- Effective use of software toolchains can be a significant force multiplier in avoiding mistakes and repeated or manual work.
- Progress might be measured by mining papers for citations / keywords used such as links to software repos used, which can themselves be mined for use of continuous integration tools, build system type and specific software libraries
Would you like to be more effective at developing software and getting science closure with less time spent debugging and supporting users? This workshop is for you!
The intended audience is as broad as possible: students to senior career--we will discuss intermediate to advanced geospace software engineering at a level accessible and useful to all.
Scope includes coding languages commonly used in heliophysics, including: C++, Fortran, Matlab, Python
Use cases we address include:
- scripting languages to analyze large data sets quickly
- model developers reduce the time spent tutoring new users in building / modifying / using the model
- reduce debugging effort by adding automated self-tests
- ensure code will be usable on most current computing platforms and easily adaptable to future systems
We intend that most participants will be able to apply industry best-practices to their own work tonight, if not in the workshop itself. Topics include:
- Modernizing coding practices in any language
- what should be object-oriented vs. functionalized
- Making code more accessible
- How to make code in proprietary (IDL) or less common languages more easily usable by all
- Version control (Git)
- sharing and developing code effectively across diverse teams
- Build systems (CMake, Meson, Pip)
- make it easy for users to get prereqs and build your code on any computer
- Continuous test / integration (Travis-CI)
- automatically run tests "in the cloud" on Linux, Mac, Windows for each code change--learn how to create tests in your preferred language
- Asynchronous architectures
- where can parallel or concurrent processing be easily applied to speed processing--examples include Python asyncio and Fortran coarray
Please let the organizers know if you have something to present.
This is where the final summary workshop report will be.
Upload presentation and link to it here. We will also try to archive talks in Zenodo.
- Add links to your presentations here, including agendas, that are uploaded above. Please add bullets to separate talks. See further information on how to upload a file and link to it.