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DTSTART:19700308T020000
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DTSTAMP:20260202T201258Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251121T080000
DTEND;TZID=America/Chicago:20251121T120000
UID:submissions.supercomputing.org_SC25_sess620_post157@linklings.com
SUMMARY:Seamless Scaling of Applications Across Programming Models
DESCRIPTION:Reto Krummenacher (University of Basel), Quentin Guilloteau (I
 nria), Jonas H. Müller Korndörfer (University of Bern), and Florina M. Cio
 rba (University of Basel)\n\nWe present a comparative study of the product
 ivity and performance of four programming languages: Python, Julia, C++, a
 nd DaphneDSL, for the Connected Components graph algorithm from the GAP be
 nchmark suite. Using various code productivity metrics, we evaluated the e
 ffort of scaling applications from a local parallel version to a distribut
 ed implementation. Experiments carried out on the Vega EuroHPC system reve
 al that, with moderate coding effort, Julia offers the best performance, w
 hile DaphneDSL enables seamless distributed execution with no code changes
 , albeit at a small performance cost.\n\nTag: Research & ACM SRC Posters\n
 \nRegistration Category: Technical Program Reg Pass\n\nSession Chairs: Ken
 to Sato (RIKEN Center for Computational Science (R-CCS)); Anja Gerbes (Geo
 rg-August-Universität Göttingen); and Chris Schlipalius (Pawsey Supercompu
 ting Research Centre; Commonwealth Scientific and Industrial Research Orga
 nisation (CSIRO), Australia)\n\n
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