PLDI

Multidimensional array operations are ubiquitous in machine learning. The dominant ecosystem in this field is centred around Python and NumPy, where programs are expressed with elaborate and error-prone calls in the point-free array programming model. ...

We present work assisting, a novel scheduling strategy for mixing data parallelism (loop parallelism) with task parallelism, where threads share their current data-parallel activity in a shared array to let other threads assist. In contrast to most ...

In this paper, we propose a new library for storing arrays in a distributed fashion on distributed memory systems. From a programmer's perspective, these arrays behave for arbitrary reads as if they were allocated in shared memory. When it comes to ...