activity
20172020
most citedHPX Smart Executors

9 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC20201 cited

Implementing Software Resiliency in HPX for Extreme Scale Computing

Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine +1

Exceptions and errors occurring within mission critical applications due to hardware failures have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hard…

cs.DC20201 cited

Supporting OpenMP 5.0 Tasks in hpxMP -- A study of an OpenMP implementation within Task Based Runtime Systems

Tianyi Zhang, Shahrzad Shirzad, Bibek Wagle +3

OpenMP has been the de facto standard for single node parallelism for more than a decade. Recently, asynchronous many-task runtime (AMT) systems have increased in popularity as a n…

cs.DC2019

From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions

Gregor Daiß, Parsa Amini, John Biddiscombe +7

We study the simulation of stellar mergers, which requires complex simulations with high computational demands. We have developed Octo-Tiger, a finite volume grid-based hydrodynami…

cs.DC20179 cited

HPX Smart Executors

Zahra Khatami, Lukas Troska, Hartmut Kaiser +2

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…

cs.DC20172 cited

Redesigning OP2 Compiler to Use HPX Runtime Asynchronous Techniques

Zahra Khatami, Hartmut Kaiser, J. Ramanujam

Maximizing parallelism level in applications can be achieved by minimizing overheads due to load imbalances and waiting time due to memory latencies. Compiler optimization is one o…