Learning to Parallelize in a Shared-Memory Environment with Transformers. (arXiv:2204.12835v1 [cs.DC])

In past years, the world has switched to many-core and multi-core shared
memory architectures.

As a result, there is a growing need to utilize these architectures by
introducing shared memory parallelization schemes to software applications.
OpenMP is the most comprehensive API that implements such schemes,
characterized by a readable interface. Nevertheless, introducing OpenMP into
code is challenging due to pervasive pitfalls in management of parallel shared
memory. To facilitate the performance of this task, many source-to-source (S2S)
compilers have been …

arxiv environment learning memory transformers