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The long foreseen goal of parallel programming models is to scale parallel code without significant programming effort. Irregular parallel applications are a particularly challenging application domain for parallel programming models, since they require domain specific data distribution and load balancing algorithms. From a performance perspective, shared-memory models still fall short of scaling as well as message-passing models in irregular applications, although they require less codingdoi:10.1145/582034.582050 dblp:conf/sc/NikolopoulosPA01 fatcat:iq75fa4my5bsjbfe5kmx4fq2te