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International audienceCurrent HENP frameworks were written before multicore systems became widely deployed. A 'single-thread' execution model naturally emerged from that environment, however, this no longer ts into the processing model on the dawn of the manycores 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 benets 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 sub ject. Yet, several parallel programming styles have emerged: actors, message passing, communicating sequential processes, task-based programming, data ow programming, . . . to name a few. We present the work of the prototyping of a next-generation framework in new and expressive languages (python [4] and Go [5]) to investigate how code clarity and robustness are aected and what are the downsides of using languages younger than Fortran/C/C++

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