With the shift to exascale computer systems, the importance of productive programming models for distributed systems is increasing. Partitioned Global Address Space (PGAS) programming models aim to reduce the complexity of writing distributed-memory ...

The recent trend of rapid increase in the number of cores per chip has resulted in vast amounts of on-node parallelism. These high core counts result in hardware variability that introduces imbalance. Applications are also becoming more complex ...

The performance of many parallel applications depends on loop-level parallelism. However, manually parallelizing all loops may result in degrading parallel performance, as some of them cannot scale desirably to a large number of threads. In addition, ...