One of the biggest challenges on the way to exascale computing is programmability in the
context of performance portability. The efficient utilization of the prospective architectures of …

Environmental modelling frameworks allow domain experts, rather than software
developers, to implement and run numerical simulation models in earth and environmental …

The increasing complexity of modern exascale computers, with a growing number of cores
per node, poses a challenge to traditional programming models. To address this challenge …

In this research, we describe the functionality of AGAS (Active Global Address Space), a
subsystem of the HPX runtime system that is designed to handle data locality at runtime …

Task granularity, ie, the amount of work performed by parallel tasks, is a key performance
attribute of parallel applications. On the one hand, fine-grained tasks (ie, small tasks carrying …

Overheads associated with fine grained communication in task based runtime systems are
one of the major bottlenecks that limit the performance of distributed applications. In this …

Parallel programming remains a daunting challenge, from struggling to express a parallel
algorithm without cluttering the underlying synchronous logic to describing which tools to …

The ability to measure performance characteristics of an application at runtime is essential
for monitoring the behavior of the application and the runtime system on the underlying …

As high performance computing moves towards the exascale computing regime,
applications are required to expose increasingly fine grain parallelism to efficiently use next …

As parallel computation enters the exascale era where applications may run on millions to
billions of processors concurrently, all aspects of the computational model need to undergo …