As a fan of the Julia language, I jsut saw this announcement on the Julia forum. Sounds mighty interesting!
https://discourse.julialang.org/t/cfp-parallel-applications-workshop-alternatives-to-mpi-supercomputing-2018/10762 http://sourceryinstitute.github.io/PAW/ Higher-level parallel programming models offer rich sets of abstractions that feel natural in the intended applications. Such languages and tools include (Fortran, UPC, Julia), systems for large-scale data processing and analytics (Spark, Tensorflow, Dask), and frameworks and libraries that extend existing languages (Charm++, Unified Parallel C++ (UPC++), Coarray C++, HPX, Legion, Global Arrays). While there are tremendous differences between these approaches, all strive to support better programmer abstractions for concerns such as data parallelism, task parallelism, dynamic load balancing, and data placement across the memory hierarchy.
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