[Beowulf] Alternatives To MPI Workshop

John Hearns hearnsj at googlemail.com
Tue May 8 23:51:01 PDT 2018

As a fan of the Julia language, I jsut saw this announcement on the Julia
Sounds mighty interesting!



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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