Presentation
Seamless Scaling of Applications Across Programming Models
DescriptionWe present a comparative study of the productivity and performance of four programming languages: Python, Julia, C++, and DaphneDSL, for the Connected Components graph algorithm from the GAP benchmark suite. Using various code productivity metrics, we evaluated the effort of scaling applications from a local parallel version to a distributed implementation. Experiments carried out on the Vega EuroHPC system reveal that, with moderate coding effort, Julia offers the best performance, while DaphneDSL enables seamless distributed execution with no code changes, albeit at a small performance cost.
Event Type
Research and ACM SRC Posters
TimeTuesday, 18 November 20258:00am - 5:00pm CST
LocationSecond Floor Atrium
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