Understanding parallel computing techniques is becoming increasing important….
To support teaching the topics, tools, and techniques effectively, VU has invested in a number of specialized assets for student projects and classroom that were inspired by the work of the CSinParallel Community.
These include 3 clusters, based on:
- the NVIDIA Jetson TK-1 (6 Nodes),
- the LittleFe v3d (with 6 Nodes), and
- the Parallella system on a board (5 nodes).
all of which run behind a front-end system (“acorn.valpo.edu”)
All three systems were built by students, and have been used to support classroom and independent study projects on parallel, distributed, and high performance computing.
These assets are also complemented by the more powerful compute systems (including “pascal“).