Teaching Computational Scientists to Build and Package Open-Source Software
Lead Software Engineer
Princeton Plasma Physics Laboratory
Prentice Bisbal is a Lead Software Engineer at the Princeton Plasma
Physics Laboratory (PPPL) in Princeton, NJ. He has been at PPPL since
April of 2016. He has been a Unix/Linux System Administrator
specializing in Scientific Computing since 1998. Most of that time has
been in smaller academic research organizations where he has been
responsible for all aspects of Scientific Computing system
administration and user support. He has a BS in Chemical Engineering
from Rutgers University. He became interested in Scientific Computing
when studying process modeling as part of his undergraduate education.
He estimates he has gone through the process of building open-source
packages several thousand times.
High performance computing training and education typically emphasizes
the first-principles of scientific programming, such as numerical
algorithms and parallel programming techniques. However, many
computational scientists need to know how to compile and link to
applications built by others. Likewise, those who create the libraries
and applications need to understand how to package their code it so
that it is straightforward for others to use. In this webinar, we will
go through the process of building and installing open-source
software. The focus will be on packages that use a configure script
generated by the GNU Autoconf utility, since most open-source packages
provide such a script. I will summarize my observations on the most
common difficulties computational scientists encounter when trying to
build and install open-source software themselves, and how to address
them. I will also discuss common deficiencies I have found in the
packaging of open-source scientific packages will also be discussed,
along with some suggestions for correcting them.
When: 10:00 CST, February 6, 2019
Length of session: 1 hour
Target audience: The webinar is intended for researchers and developers who are interested in good techniques for developing open source software.
Prerequisites: No prerequisites.
For those interested in learning how to compile open-source software