Description
Develops parallel programs with the Chapel language for scalable computing workloads. It is useful for researchers and developers writing high-performance applications that need clearer parallel-programming constructs.
Parallel programs can consume significant CPU, memory, and cluster resources. Test workload size, runtime settings, and scheduler integration before running large jobs.