ng: What next-generation languages can teach us about HENP frameworks in the manycore era

Current High Energy and Nuclear Physics (HENP) frameworks were written before multicore systems became widely deployed. A 'single-thread' execution model naturally emerged from that environment, however, this no longer fits into the processing model on the dawn of the manycore era. Althoug...

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Vydané v:Journal of physics. Conference series Ročník 331; číslo 4; s. 042002 - 6
Hlavný autor: Binet, Sébastien
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bristol IOP Publishing 01.01.2011
Predmet:
Architecture
Bullets
Communication
FORTRAN
Languages
Message passing
Nuclear physics
Parallel programming
Physics
Programming
Projectiles
Prototyping
ISSN:1742-6596, 1742-6588, 1742-6596
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Shrnutí:Current High Energy and Nuclear Physics (HENP) frameworks were written before multicore systems became widely deployed. A 'single-thread' execution model naturally emerged from that environment, however, this no longer fits into the processing model on the dawn of the manycore era. Although previous work focused on minimizing the changes to be applied to the LHC frameworks (because of the data taking phase) while still trying to reap the benefits of the parallel-enhanced CPU architectures, this paper explores what new languages could bring to the design of the next-generation frameworks. Parallel programming is still in an intensive phase of R&D and no silver bullet exists despite the 30+ years of literature on the subject. Yet, several parallel programming styles have emerged: actors, message passing, communicating sequential processes, task-based programming, data flow programming, to name a few. We present the work of the prototyping of a next-generation framework in new and expressive languages (python and Go) to investigate how code clarity and robustness are affected and what are the downsides of using languages younger than FORTRAN/C/C++.
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ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/331/4/042002