Standard
aPyCSP - Asynchronous PyCSP using python coroutines and asyncio. / Bjørndalen, John Markus; Vinter, Brian; Anshus, Otto.
Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40). red. / Jan Baekgaard Pedersen; Kevin Chalmers; Jan F. Broenink; Brian Vinter; Kevin Vella; Peter H. Welch; Marc L. Smith; Kenneth Skovhede. IMIA and IOS Press, 2019. s. 281-297 (Concurrent Systems Engineering Series, Bind 70).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Bjørndalen, JM, Vinter, B & Anshus, O 2019,
aPyCSP - Asynchronous PyCSP using python coroutines and asyncio. i JB Pedersen, K Chalmers, JF Broenink, B Vinter, K Vella, PH Welch, ML Smith & K Skovhede (red),
Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40). IMIA and IOS Press, Concurrent Systems Engineering Series, bind 70, s. 281-297, 39th WoTUG Conference on Communicating Process Architectures, CPA 2017 and 40th WoTUG Conference on Communicating Process Architectures, CPA 2018, Dresden, Tyskland,
19/08/2018.
https://doi.org/10.3233/978-1-61499-949-2-281APA
Bjørndalen, J. M., Vinter, B., & Anshus, O. (2019).
aPyCSP - Asynchronous PyCSP using python coroutines and asyncio. I J. B. Pedersen, K. Chalmers, J. F. Broenink, B. Vinter, K. Vella, P. H. Welch, M. L. Smith, & K. Skovhede (red.),
Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40) (s. 281-297). IMIA and IOS Press. Concurrent Systems Engineering Series Bind 70
https://doi.org/10.3233/978-1-61499-949-2-281Vancouver
Bjørndalen JM, Vinter B, Anshus O.
aPyCSP - Asynchronous PyCSP using python coroutines and asyncio. I Pedersen JB, Chalmers K, Broenink JF, Vinter B, Vella K, Welch PH, Smith ML, Skovhede K, red., Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40). IMIA and IOS Press. 2019. s. 281-297. (Concurrent Systems Engineering Series, Bind 70).
https://doi.org/10.3233/978-1-61499-949-2-281Author
Bjørndalen, John Markus ; Vinter, Brian ; Anshus, Otto. / aPyCSP - Asynchronous PyCSP using python coroutines and asyncio. Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40). red. / Jan Baekgaard Pedersen ; Kevin Chalmers ; Jan F. Broenink ; Brian Vinter ; Kevin Vella ; Peter H. Welch ; Marc L. Smith ; Kenneth Skovhede. IMIA and IOS Press, 2019. s. 281-297 (Concurrent Systems Engineering Series, Bind 70).
Bibtex
@inproceedings{203095d92df949b6993d25e7bc20883e,
title = "aPyCSP - Asynchronous PyCSP using python coroutines and asyncio",
abstract = "PyCSP provides a CSP (Communicating Sequential Processes) based library for Python, where CSP processes can be executed as threads, operating system processes or greenlets. The main drawback of using threads and processes is that they limit the number of CSP processes that a program can use due to operating system restrictions and memory and synchronisation overheads. This overhead is reduced when using greenlets, but requires the use of an external library. aPyCSP is an experimental implementation of PyCSP that uses recent support for coroutines in Python and the asyncio library. This paper explores two implementation approaches for aPyCSP where the most recent version is shorter, simpler to read and understand and supports more functionality than the original version, including generic channel support and input and output guards. We believe some of the identified implementation techniques can be useful for other CSP libraries. The aPyCSP implementation is also faster and uses less memory per CSP process, allowing us to scale to 15 million processes on a computer with 64 GB memory.",
keywords = "APyCSP, Asynchronous, Coroutine, CSP, PyCSP, Python",
author = "Bj{\o}rndalen, {John Markus} and Brian Vinter and Otto Anshus",
year = "2019",
doi = "10.3233/978-1-61499-949-2-281",
language = "English",
series = "Concurrent Systems Engineering Series",
publisher = "IMIA and IOS Press",
pages = "281--297",
editor = "Pedersen, {Jan Baekgaard} and Kevin Chalmers and Broenink, {Jan F.} and Brian Vinter and Kevin Vella and Welch, {Peter H.} and Smith, {Marc L.} and Kenneth Skovhede",
booktitle = "Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40)",
note = "39th WoTUG Conference on Communicating Process Architectures, CPA 2017 and 40th WoTUG Conference on Communicating Process Architectures, CPA 2018 ; Conference date: 19-08-2018 Through 22-08-2018",
}
RIS
TY - GEN
T1 - aPyCSP - Asynchronous PyCSP using python coroutines and asyncio
AU - Bjørndalen, John Markus
AU - Vinter, Brian
AU - Anshus, Otto
PY - 2019
Y1 - 2019
N2 - PyCSP provides a CSP (Communicating Sequential Processes) based library for Python, where CSP processes can be executed as threads, operating system processes or greenlets. The main drawback of using threads and processes is that they limit the number of CSP processes that a program can use due to operating system restrictions and memory and synchronisation overheads. This overhead is reduced when using greenlets, but requires the use of an external library. aPyCSP is an experimental implementation of PyCSP that uses recent support for coroutines in Python and the asyncio library. This paper explores two implementation approaches for aPyCSP where the most recent version is shorter, simpler to read and understand and supports more functionality than the original version, including generic channel support and input and output guards. We believe some of the identified implementation techniques can be useful for other CSP libraries. The aPyCSP implementation is also faster and uses less memory per CSP process, allowing us to scale to 15 million processes on a computer with 64 GB memory.
AB - PyCSP provides a CSP (Communicating Sequential Processes) based library for Python, where CSP processes can be executed as threads, operating system processes or greenlets. The main drawback of using threads and processes is that they limit the number of CSP processes that a program can use due to operating system restrictions and memory and synchronisation overheads. This overhead is reduced when using greenlets, but requires the use of an external library. aPyCSP is an experimental implementation of PyCSP that uses recent support for coroutines in Python and the asyncio library. This paper explores two implementation approaches for aPyCSP where the most recent version is shorter, simpler to read and understand and supports more functionality than the original version, including generic channel support and input and output guards. We believe some of the identified implementation techniques can be useful for other CSP libraries. The aPyCSP implementation is also faster and uses less memory per CSP process, allowing us to scale to 15 million processes on a computer with 64 GB memory.
KW - APyCSP
KW - Asynchronous
KW - Coroutine
KW - CSP
KW - PyCSP
KW - Python
U2 - 10.3233/978-1-61499-949-2-281
DO - 10.3233/978-1-61499-949-2-281
M3 - Article in proceedings
AN - SCOPUS:85082388904
T3 - Concurrent Systems Engineering Series
SP - 281
EP - 297
BT - Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40)
A2 - Pedersen, Jan Baekgaard
A2 - Chalmers, Kevin
A2 - Broenink, Jan F.
A2 - Vinter, Brian
A2 - Vella, Kevin
A2 - Welch, Peter H.
A2 - Smith, Marc L.
A2 - Skovhede, Kenneth
PB - IMIA and IOS Press
T2 - 39th WoTUG Conference on Communicating Process Architectures, CPA 2017 and 40th WoTUG Conference on Communicating Process Architectures, CPA 2018
Y2 - 19 August 2018 through 22 August 2018
ER -
