Implementing Software Resiliency in HPX for Extreme Scale Computing

Gupta, Nikunj; Mayo, Jackson; Lemoine, Adrian S.; Kaiser, Hartmut

doi:10.2172/1614897

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Software Resilience HPX supports software-level resilience (Gupta, Mayo, Lemoine, & Kaiser, 2020) through its resiliency API, such as hpx::async_replay and hpx::async_replicate and its dataflow counterparts hpx::dataflow_replay and hpx::dataflow_replicate. These APIs are resilient against memory bit flips and other hardware errors.…”

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confidence: 99%

HPX - The C++ Standard Library for Parallelism and Concurrency

Kaiser¹,

Diehl²,

Lemoine³

et al. 2020

JOSS

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The new challenges presented by exascale system architectures have resulted in difficulty achieving the desired scalability using traditional distributed-memory runtimes. Asynchronous many-task systems (AMT) are based on a new paradigm showing promise in addressing these challenges, providing application developers with a productive and performant approach to programming on next generation systems. HPX is a C++ Library for concurrency and parallelism that is developed by The STE||AR Group, an international group of collaborators working in the field of distributed and parallel programming (Heller, Diehl, Byerly, Biddiscombe, & Kaiser, 2017; Kaiser et al., n.d.; Tabbal, Anderson, Brodowicz, Kaiser, & Sterling, 2011). It is a runtime system written using modern C++ techniques that are linked as part of an application. HPX exposes extended services and functionalities supporting the implementation of parallel, concurrent, and distributed capabilities for applications in any domain; it has been used in scientific computing, gaming, finances, data mining, and other fields.

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confidence: 99%