back to search
You deal with the Dataflow computing model and its application to irregular workloads (e.g., sparse linear algebra, Graph-Analytics, ML). You learn how Dataflow is deployed on different levels (microarchitecture, ISA, programming model, specialized accelerators, network and memory components) and conduct your own investigations and experiments on current research topics.
No ratings for this module yet.
Only fill in the categories you can judge – for each one, either stars and text together or nothing at all.
Reviews are automatically checked before they are published.
Official page in TUMonline · Details are not binding.