Update abstract

isc25/EESSI/abstract.tex

@@ -1,19 +1,21 @@
 What if there was a way to avoid having to install a broad range of scientific software from scratch on every HPC
 cluster or cloud instance you use or maintain, without compromising on performance?
 
-Installing scientific software for supercomputers is known to be a tedious and time-consuming task. Especially as the
-HPC user community becomes more diverse, computational science expands rapidly, the diversity of system architectures
-increases the application software stack continues to deepen. Simultaneously, we see a surge in interest in cloud
-computing for scientific computing. Delivering optimised software installations and providing access to these
+Installing scientific software for supercomputers is known to be a tedious and time-consuming task. The application
+software stack continues to deepen as the
+HPC user community becomes more diverse, computational science expands rapidly, and the diversity of system architectures
+increases. Simultaneously, we see a surge in interest in public cloud
+infrastructures for scientific computing. Delivering optimised software installations and providing access to these
 installations in a reliable, user-friendly, and reproducible way is a highly non-trivial task that affects application
 developers, HPC user support teams, and the users themselves.
 
-This tutorial aims to address these challenges by providing the attendees with the knowledge to stream optimised
-scientific software. For this, the tutorial introduces European Environment for Scientific Software Installations
+This tutorial aims to address these challenges by providing the attendees with the tools to \emph{stream} the optimised
+scientific software they need. The tutorial introduces European Environment for Scientific Software Installations
 (\emph{EESSI}), a collaboration between various European HPC sites \& industry partners, with the common goal of
-creating a shared repository of scientific software installations that can be used on a variety of systems, regardless
-of which flavor/version of Linux distribution or processor architecture is used, or whether it’s a full size HPC
+creating a shared repository of scientific software installations (\emph{not} recipes) that can be used on a variety of
+systems, regardless
+of which flavor/version of Linux distribution or processor architecture is used, or whether it's a full size HPC
 cluster, a cloud environment or a personal workstation.
 
 We cover the usage of EESSI, different ways to accessing EESSI, how to add software to EESSI, and highlight some more 
-advanced features. We will also show how to engage with the community and contribute to the project.
+advanced features. We will also show attendees how to engage with the community and contribute to the project.