Depending on your parallel use case:

  * if you need data parallelism, you can use OpenMP, I wrote some helpers I 
find useful for [parallel tensor computations 
here](https://github.com/numforge/laser/blob/9fbb8d2a573d950573c7249e3a5d6cdd784a639e/laser/openmp.nim).
  * for task parallelism, there is an [example of a worker queue in 
nimx]([https://github.com/yglukhov/nimx/blob/e34a131bfee98e126e36b4d6b666e5d205e287a3/nimx/private/worker_queue.nim](https://github.com/yglukhov/nimx/blob/e34a131bfee98e126e36b4d6b666e5d205e287a3/nimx/private/worker_queue.nim))


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