There are good reasons for the persistence of C, C++ and Fortran in high performance computing, even with some the inherent productivity challenges (extensive memory management and debugging in particular). …
…After toiling away in relative obscurity for over a decade, open source Julia is right on time for the big enterprise AI/ML code modernization party.
Just because supercomputers are engineered to be far more powerful over time does not necessarily mean programmer productivity will follow the same curve. …
Written in the productivity language Julia, the Celeste project—which aims to catalogue all of the telescope data for the stars and galaxies in in the visible universe—demonstrated the first Julia application to exceed 1 PF/s of double-precision floating-point performance (specifically 1.54 PF/s). …
Choosing a programming language for HPC used to be an easy task. …
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