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Ks;aL3Zd?GsQjpmI literal 0 HcmV?d00001 From 50d25c1fb843b07b9e07d45508abd73de4598d9f Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Wed, 19 Jul 2023 19:16:36 +0100 Subject: [PATCH 2/3] Creating 10.21105.joss.05444.crossref.xml --- joss.05444/10.21105.joss.05444.crossref.xml | 267 ++++++++++++++++++++ 1 file changed, 267 insertions(+) create mode 100644 joss.05444/10.21105.joss.05444.crossref.xml diff --git a/joss.05444/10.21105.joss.05444.crossref.xml b/joss.05444/10.21105.joss.05444.crossref.xml new file mode 100644 index 0000000000..1ca25af358 --- /dev/null +++ b/joss.05444/10.21105.joss.05444.crossref.xml @@ -0,0 +1,267 @@ + + + + 20230719T181619-d678e8b6e14a7854293749102f340519b662becc + 20230719181619 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org/ + + + + + 07 + 2023 + + + 8 + + 87 + + + + shmem4py: OpenSHMEM for Python + + + + Marcin + Rogowski + https://orcid.org/0000-0002-5662-2082 + + + Lisandro + Dalcin + https://orcid.org/0000-0001-8086-0155 + + + Jeff R. + Hammond + https://orcid.org/0000-0003-3181-8190 + + + David E. + Keyes + https://orcid.org/0000-0002-4052-7224 + + + + 07 + 19 + 2023 + + + 5444 + + + 10.21105/joss.05444 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.8143862 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/5444 + + + + 10.21105/joss.05444 + https://joss.theoj.org/papers/10.21105/joss.05444 + + + https://joss.theoj.org/papers/10.21105/joss.05444.pdf + + + + + + Introducing OpenSHMEM: SHMEM for the PGAS +community + Chapman + Proceedings of the fourth conference on +partitioned global address space programming model + 10.1145/2020373.2020375 + 2010 + Chapman, B., Curtis, T., Pophale, S., +Poole, S., Kuehn, J., Koelbel, C., & Smith, L. (2010). Introducing +OpenSHMEM: SHMEM for the PGAS community. Proceedings of the Fourth +Conference on Partitioned Global Address Space Programming Model, 1–3. +https://doi.org/10.1145/2020373.2020375 + + + Dask: Parallel computation with blocked +algorithms and task scheduling + Rocklin + Proceedings of the 14th Python in Science +Conference + 130 + 10.25080/Majora-7b98e3ed-013 + 2015 + Rocklin, M. (2015). Dask: Parallel +computation with blocked algorithms and task scheduling. Proceedings of +the 14th Python in Science Conference, 130, 136. +https://doi.org/10.25080/Majora-7b98e3ed-013 + + + Ray: A distributed framework for emerging AI +applications + Moritz + 13th USENIX symposium on operating systems +design and implementation (OSDI 18) + 978-1-939133-08-3 + 2018 + Moritz, P., Nishihara, R., Wang, S., +Tumanov, A., Liaw, R., Liang, E., Elibol, M., Yang, Z., Paul, W., +Jordan, M. I., & Stoica, I. (2018). Ray: A distributed framework for +emerging AI applications. 13th USENIX Symposium on Operating Systems +Design and Implementation (OSDI 18), 561–577. +ISBN: 978-1-939133-08-3 + + + mpi4py: Status update after 12 years of +development + Dalcin + Computing in Science & +Engineering + 4 + 23 + 10.1109/MCSE.2021.3083216 + 2021 + Dalcin, L., & Fang, Y.-L. L. +(2021). mpi4py: Status update after 12 years of development. Computing +in Science & Engineering, 23(4), 47–54. +https://doi.org/10.1109/MCSE.2021.3083216 + + + mpi4py.futures: MPI-based asynchronous task +execution for Python + Rogowski + IEEE Transactions on Parallel and Distributed +Systems + 2 + 34 + 10.1109/TPDS.2022.3225481 + 2023 + Rogowski, M., Aseeri, S., Keyes, D., +& Dalcin, L. (2023). mpi4py.futures: MPI-based asynchronous task +execution for Python. IEEE Transactions on Parallel and Distributed +Systems, 34(2), 611–622. +https://doi.org/10.1109/TPDS.2022.3225481 + + + Casper: An asynchronous progress model for +MPI RMA on many-core architectures + Si + 2015 IEEE international parallel and +distributed processing symposium + 10.1109/IPDPS.2015.35 + 2015 + Si, M., Peña, A. J., Hammond, J., +Balaji, P., Takagi, M., & Ishikawa, Y. (2015). Casper: An +asynchronous progress model for MPI RMA on many-core architectures. 2015 +IEEE International Parallel and Distributed Processing Symposium, +665–676. https://doi.org/10.1109/IPDPS.2015.35 + + + GPU-centric communication on NVIDIA GPU +clusters with InfiniBand: A case study with OpenSHMEM + Potluri + 2017 IEEE 24th international conference on +high performance computing (HiPC) + 10.1109/HiPC.2017.00037 + 2017 + Potluri, S., Goswami, A., Rossetti, +D., Newburn, C. J., Venkata, M. G., & Imam, N. (2017). GPU-centric +communication on NVIDIA GPU clusters with InfiniBand: A case study with +OpenSHMEM. 2017 IEEE 24th International Conference on High Performance +Computing (HiPC), 253–262. +https://doi.org/10.1109/HiPC.2017.00037 + + + An initial assessment of NVSHMEM for high +performance computing + Hsu + 2020 IEEE international parallel and +distributed processing symposium workshops (IPDPSW) + 10.1109/IPDPSW50202.2020.00104 + 2020 + Hsu, C.-H., Imam, N., Langer, A., +Potluri, S., & Newburn, C. J. (2020). An initial assessment of +NVSHMEM for high performance computing. 2020 IEEE International Parallel +and Distributed Processing Symposium Workshops (IPDPSW), 1–10. +https://doi.org/10.1109/IPDPSW50202.2020.00104 + + + Implementing OpenSHMEM using MPI-3 one-sided +communication + Hammond + OpenSHMEM and related technologies. +Experiences, implementations, and tools: First workshop, OpenSHMEM 2014, +annapolis, MD, USA, march 4-6, 2014. Proceedings 1 + 10.1007/978-3-319-05215-1 + 2014 + Hammond, J. R., Ghosh, S., & +Chapman, B. M. (2014). Implementing OpenSHMEM using MPI-3 one-sided +communication. OpenSHMEM and Related Technologies. Experiences, +Implementations, and Tools: First Workshop, OpenSHMEM 2014, Annapolis, +MD, USA, March 4-6, 2014. Proceedings 1, 44–58. +https://doi.org/10.1007/978-3-319-05215-1 + + + A comprehensive performance evaluation of +OpenSHMEM libraries on InfiniBand clusters + Jose + OpenSHMEM and related technologies. +Experiences, implementations, and tools: First workshop, OpenSHMEM 2014, +annapolis, MD, USA, march 4-6, 2014. Proceedings 1 + 10.1007/978-3-319-05215-1_2 + 2014 + Jose, J., Zhang, J., Venkatesh, A., +Potluri, S., & Panda, D. K. (2014). A comprehensive performance +evaluation of OpenSHMEM libraries on InfiniBand clusters. OpenSHMEM and +Related Technologies. Experiences, Implementations, and Tools: First +Workshop, OpenSHMEM 2014, Annapolis, MD, USA, March 4-6, 2014. +Proceedings 1, 14–28. +https://doi.org/10.1007/978-3-319-05215-1_2 + + + CFFI: C Foreign Function Interface for +Python + Rigo + Read the Docs + 2022 + Rigo, A., & Fijalkowski, M. +(2022). CFFI: C Foreign Function Interface for Python. In Read the Docs. +https://cffi.readthedocs.io/ + + + + + + From 79b3f24b8d4d52b0034f99809a10b28e265ff280 Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Wed, 19 Jul 2023 19:16:36 +0100 Subject: [PATCH 3/3] Creating 10.21105.joss.05444.jats --- joss.05444/10.21105.joss.05444.jats | 425 ++++++++++++++++++++++++++++ 1 file changed, 425 insertions(+) create mode 100644 joss.05444/10.21105.joss.05444.jats diff --git a/joss.05444/10.21105.joss.05444.jats b/joss.05444/10.21105.joss.05444.jats new file mode 100644 index 0000000000..0fe38d4eec --- /dev/null +++ b/joss.05444/10.21105.joss.05444.jats @@ -0,0 +1,425 @@ + + +
+ + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +5444 +10.21105/joss.05444 + +shmem4py: OpenSHMEM for Python + + + +https://orcid.org/0000-0002-5662-2082 + +Rogowski +Marcin + + +* + + +https://orcid.org/0000-0001-8086-0155 + +Dalcin +Lisandro + + + + +https://orcid.org/0000-0003-3181-8190 + +Hammond +Jeff R. + + + + +https://orcid.org/0000-0002-4052-7224 + +Keyes +David E. + + + + + +King Abdullah University of Science and Technology, Saudi +Arabia + + + + +NVIDIA Helsinki Oy, Finland + + + + +* E-mail: + + +13 +4 +2023 + +8 +87 +5444 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Python +PGAS +OpenSHMEM +shared memory +High Performance Computing + + + + + + Summary +

shmem4py brings the Partitioned Global + Address Space (PGAS) programming model to Python by exposing the + functionality of the OpenSHMEM Application Programming Interface (API) + specification. The feature set includes one-sided communication, + shared memory access, atomic memory operations, and collective + operations. The Python implementation of + shmem4py emphasizes using NumPy arrays, + providing convenient access to the symmetric memory allocations + central to OpenSHMEM’s programming model. Thanks to Python’s + versatility and OpenSHMEM implementations’ focus on performance, + shmem4py offers a seamless experience on a + variety of hardware, from laptops to supercomputers, and for a wide + range of applications and users. shmem4py API + grounds in OpenSHMEM 1.5 specification; however, it also supports + legacy 1.4 implementations.

+
+ + Statement of Need +

Python applications can be scaled to multiple processes and compute + nodes in various ways. When working on a single node, the + multiprocessing or + concurrent.futures packages from the Python + standard library offer solutions for task-based parallelism. As we + expand beyond a single node, more advanced frameworks like Dask + (Rocklin, + 2015), Ray + (Moritz + et al., 2018) or mpi4py.futures + (Rogowski + et al., 2023) are commonly used. Typically, these high-level + frameworks handle interprocess communication transparently to the + user.

+

More challenging applications often require specialized + communication patterns. In those cases, Python applications can + leverage communication frameworks originally designed for + high-performance computing. One such example is + mpi4py + (Dalcin + & Fang, 2021), which offers MPI bindings for Python. + shmem4py adopts a similar approach, providing + Python bindings to OpenSHMEM + (Chapman + et al., 2010) implementations with a Python-centric and + high-level API built on top of a low-level CFFI + (Rigo + & Fijalkowski, 2022) module. This way, + shmem4py is accessible to a diverse audience + while offering a proven programming model with reliable + performance.

+

shmem4py complements + mpi4py in the same way that OpenSHMEM + complements MPI. MPI is extremely popular in high-performance + computing because of its combination of a rich feature set and + generality. OpenSHMEM is based on a different philosophy, which + provides a smaller set of features that better match high-performance + computing system hardware capabilities. For example, OpenSHMEM + one-sided communication and atomic operations are aligned with + networking capabilities such as remote direct memory access (RDMA) + such that no intervention is required on the remote side + (Jose + et al., 2014). In contrast, MPI’s one-sided communication + functionality includes many more features, some of which are known to + make implementations based strictly on RDMA more difficult + (Hammond + et al., 2014; + Si et + al., 2015). Another aspect of the tradeoff between generality + and close-to-hardware features is observed in the context of + specialized processors, such as GPUs. It has been shown that + OpenSHMEM-like APIs can be implemented natively on GPUs, e.g., NVSHMEM + (Hsu et + al., 2020; + Potluri + et al., 2017). On the other hand, implementing MPI send and + receive operations in the same context poses significant challenges. + In fact, shmem4py will provide the backbone for + future extensions supporting inter-GPU communication.

+

We envision two distinct groups of users that may be interested in + shmem4py. The first, and likely most numerous, + group includes Python programmers who lack the expertise or the time + to write low-level code in C and have applications well-suited for the + PGAS paradigm. The second group comprises high-performance computing + professionals familiar with OpenSHMEM who want to prototype or port + parts of their applications to Python. Both groups of users can + benefit greatly from the ease of development in Python, + shmem4py’s convenience functions for + manipulating NumPy arrays in symmetric memory, and all of OpenSHMEM + features. We also expect that current users of + mpi4py may want to try + shmem4py as a complementary communication model + for the same reasons that OpenSHMEM is used alongside MPI.

+
+ + Supported OpenSHMEM Implementations +

The shmem4py package supports, and is tested + with, all major implementations of the OpenSHMEM specification:

+ + +

Cray OpenSHMEMX

+
+ +

Open MPI OpenSHMEM

+
+ +

Open Source Software Solutions (OSSS) OpenSHMEM

+
+ +

OSHMPI

+
+ +

Sandia OpenSHMEM

+
+
+
+ + Acknowledgements +

The authors thank the KAUST Supercomputing Laboratory for their + computing resources.

+
+ + + + + + + ChapmanBarbara + CurtisTony + PophaleSwaroop + PooleStephen + KuehnJeff + KoelbelChuck + SmithLauren + + Introducing OpenSHMEM: SHMEM for the PGAS community + Proceedings of the fourth conference on partitioned global address space programming model + 2010 + 10.1145/2020373.2020375 + 1 + 3 + + + + + + RocklinMatthew + + Dask: Parallel computation with blocked algorithms and task scheduling + Proceedings of the 14th Python in Science Conference + Citeseer + 2015 + 130 + 10.25080/Majora-7b98e3ed-013 + 136 + + + + + + + MoritzPhilipp + NishiharaRobert + WangStephanie + TumanovAlexey + LiawRichard + LiangEric + ElibolMelih + YangZongheng + PaulWilliam + JordanMichael I. + StoicaIon + + Ray: A distributed framework for emerging AI applications + 13th USENIX symposium on operating systems design and implementation (OSDI 18) + USENIX Association + Carlsbad, CA + 201810 + 978-1-939133-08-3 + https://www.usenix.org/conference/osdi18/presentation/moritz + 561 + 577 + + + + + + DalcinLisandro + FangYao-Lung L + + mpi4py: Status update after 12 years of development + Computing in Science & Engineering + IEEE + 2021 + 23 + 4 + 10.1109/MCSE.2021.3083216 + 47 + 54 + + + + + + RogowskiMarcin + AseeriSamar + KeyesDavid + DalcinLisandro + + mpi4py.futures: MPI-based asynchronous task execution for Python + IEEE Transactions on Parallel and Distributed Systems + 2023 + 34 + 2 + 10.1109/TPDS.2022.3225481 + 611 + 622 + + + + + + SiMin + PeñaAntonio J. + HammondJeff + BalajiPavan + TakagiMasamichi + IshikawaYutaka + + Casper: An asynchronous progress model for MPI RMA on many-core architectures + 2015 IEEE international parallel and distributed processing symposium + 2015 + + 10.1109/IPDPS.2015.35 + 665 + 676 + + + + + + PotluriSreeram + GoswamiAnshuman + RossettiDavide + NewburnC. J. + VenkataManjunath Gorentla + ImamNeena + + GPU-centric communication on NVIDIA GPU clusters with InfiniBand: A case study with OpenSHMEM + 2017 IEEE 24th international conference on high performance computing (HiPC) + 2017 + + 10.1109/HiPC.2017.00037 + 253 + 262 + + + + + + HsuChung-Hsing + ImamNeena + LangerAkhil + PotluriSreeram + NewburnChris J. + + An initial assessment of NVSHMEM for high performance computing + 2020 IEEE international parallel and distributed processing symposium workshops (IPDPSW) + 2020 + + 10.1109/IPDPSW50202.2020.00104 + 1 + 10 + + + + + + HammondJeff R + GhoshSayan + ChapmanBarbara M + + Implementing OpenSHMEM using MPI-3 one-sided communication + OpenSHMEM and related technologies. Experiences, implementations, and tools: First workshop, OpenSHMEM 2014, annapolis, MD, USA, march 4-6, 2014. Proceedings 1 + Springer + 2014 + 10.1007/978-3-319-05215-1 + 44 + 58 + + + + + + JoseJithin + ZhangJie + VenkateshAkshay + PotluriSreeram + PandaDhabaleswar K + + A comprehensive performance evaluation of OpenSHMEM libraries on InfiniBand clusters + OpenSHMEM and related technologies. Experiences, implementations, and tools: First workshop, OpenSHMEM 2014, annapolis, MD, USA, march 4-6, 2014. Proceedings 1 + Springer + 2014 + 10.1007/978-3-319-05215-1_2 + 14 + 28 + + + + + + RigoArmin + FijalkowskiMaciej + + CFFI: C Foreign Function Interface for Python + Read the Docs + 2022 + https://cffi.readthedocs.io/ + + + + +