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Although parallel programming languages have existed for decades, (scientific) parallel programming is still dominated by Fortran and C/C++ augmented with parallel programming frameworks, e.g., MPI, OpenMP, OpenCL and CUDA. This paper contains a comparative study of Chapel and Julia, two languages quite different from one another as well as from Fortran and C, in regard to parallel programming on distributed and shared memory computers. The study is carried out using test cases that expose thedoi:10.4230/oasics.slate.2019.12 dblp:conf/slate/NovoselS19 fatcat:rfuj4acs5ncgnbqwpiij4xm5zy