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@article{Kaiser2020,
  doi = {10.21105/joss.02352},
  url = {https://doi.org/10.21105/joss.02352},
  year = {2020},
  publisher = {The Open Journal},
  volume = {5},
  number = {53},
  pages = {2352},
  author = {Hartmut Kaiser and Patrick Diehl and Adrian S. Lemoine and Bryce Adelstein Lelbach and Parsa Amini and Agustín Berge and John Biddiscombe and Steven R. Brandt and Nikunj Gupta and Thomas Heller and Kevin Huck and Zahra Khatami and Alireza Kheirkhahan and Auriane Reverdell and Shahrzad Shirzad and Mikael Simberg and Bibek Wagle and Weile Wei and Tianyi Zhang},
  title = {HPX - The C++ Standard Library for Parallelism and Concurrency},
  journal = {Journal of Open Source Software}
}

@article{van2002distributed,
  title={Distributed systems principles and paradigms},
  author={Van Steen, Maarten and Tanenbaum, A},
  journal={Network},
  volume={2},
  pages={28},
  year={2002}
}

@book{gropp1999using,
  title={Using MPI: portable parallel programming with the message-passing interface},
  author={Gropp, William and Gropp, William D and Lusk, Ewing and Skjellum, Anthony and Lusk, Argonne Distinguished Fellow Emeritus Ewing},
  volume={1},
  year={1999},
  publisher={MIT press}
}

@book{kumar1994introduction,
  title={Introduction to parallel computing},
  author={Kumar, Vipin and Grama, Ananth and Gupta, Anshul and Karypis, George},
  volume={110},
  year={1994},
  publisher={Benjamin/Cummings Redwood City, CA}
}

@book{sanders2010cuda,
  title={CUDA by example: an introduction to general-purpose GPU programming},
  author={Sanders, Jason and Kandrot, Edward},
  year={2010},
  publisher={Addison-Wesley Professional}
}

@ARTICLE {7543422,
author = {D. A. Bader},
journal = {Computer},
title = {Evolving MPI+X Toward Exascale},
year = {2016},
volume = {49},
number = {08},
issn = {1558-0814},
pages = {10-10},
keywords = {},
doi = {10.1109/MC.2016.232},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {aug}
}

@article{10.1016/j.jpdc.2014.07.003,
author = {Carter Edwards, H. and Trott, Christian R. and Sunderland, Daniel},
title = {Kokkos},
year = {2014},
issue_date = {December 2014},
publisher = {Academic Press, Inc.},
address = {USA},
volume = {74},
number = {12},
issn = {0743-7315},
url = {https://doi.org/10.1016/j.jpdc.2014.07.003},
doi = {10.1016/j.jpdc.2014.07.003},
abstract = {The manycore revolution can be characterized by increasing thread counts, decreasing
memory per thread, and diversity of continually evolving manycore architectures. High
performance computing (HPC) applications and libraries must exploit increasingly finer
levels of parallelism within their codes to sustain scalability on these devices.
A major obstacle to performance portability is the diverse and conflicting set of
constraints on memory access patterns across devices. Contemporary portable programming
models address manycore parallelism (e.g., OpenMP, OpenACC, OpenCL) but fail to address
memory access patterns. The Kokkos C++ library enables applications and domain libraries
to achieve performance portability on diverse manycore architectures by unifying abstractions
for both fine-grain data parallelism and memory access patterns. In this paper we
describe Kokkos' abstractions, summarize its application programmer interface (API),
present performance results for unit-test kernels and mini-applications, and outline
an incremental strategy for migrating legacy C++ codes to Kokkos. The Kokkos library
is under active research and development to incorporate capabilities from new generations
of manycore architectures, and to address a growing list of applications and domain
libraries. We developed a performance portable programming model (PM) for manycore
devices.Unifying parallel dispatch and data layout is mandatory for performance portability.The
Kokkos C++library implements this PM with pthreads, OpenMP, and CUDA back-ends.Demonstrate
Xeon Phi and NVIDIA GPU performance portability with mini-applications.Recommend a
strategy for legacy application codes to migrate to manycore.},
journal = {J. Parallel Distrib. Comput.},
month = dec,
pages = {3202–3216},
numpages = {15},
keywords = {Manycore, GPU, Thread parallelism, Parallel computing, Mini-application, Performance portability, Multidimensional array}
}

@INPROCEEDINGS{7312664,
  author={Grun, Paul and Hefty, Sean and Sur, Sayantan and Goodell, David and Russell, Robert D. and Pritchard, Howard and Squyres, Jeffrey M.},
  booktitle={2015 IEEE 23rd Annual Symposium on High-Performance Interconnects}, 
  title={A Brief Introduction to the OpenFabrics Interfaces - A New Network API for Maximizing High Performance Application Efficiency}, 
  year={2015},
  volume={},
  number={},
  pages={34-39},
  doi={10.1109/HOTI.2015.19}}


@inproceedings{brzezinski1995deadlocks,
  title={Deadlocks in distributed systems: request models and definitions},
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  pages={186--193},
  year={1995},
  organization={IEEE}
}