Toward Aggregated Grain Graphs
Author/Presenters
Event Type
Workshop
Data Analytics
Performance
Visualization
TimeFriday, November 17th9:35am -
10am
Location301
DescriptionGrain graphs simplify OpenMP performance analysis by
visualizing performance problems from a fork-join
perspective that is familiar to programmers. However, it
is tedious to navigate and diagnose problems in large
grain graphs with thousands of task and parallel
for-loop chunk instances. We present an aggregation
method that matches recurring patterns in grain graphs
and groups related nodes together, reducing graphs of
any size to one root group. The aggregated grain graph
is then navigated by progressively uncovering groups and
analyzing only those groups that have problems. This
enhances productivity by enabling programmers to
understand program structure and problems in large grain
graphs with less effort than before.
