{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T22:40:01Z","timestamp":1749508801390,"version":"3.41.0"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030779603"},{"type":"electronic","value":"9783030779610"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-77961-0_20","type":"book-chapter","created":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T19:07:58Z","timestamp":1623352078000},"page":"228-242","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures"],"prefix":"10.1007","author":[{"given":"Ryan","family":"Bleile","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Brantley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew","family":"O\u2019Brien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hank","family":"Childs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,9]]},"reference":[{"key":"20_CR1","unstructured":"Livermore computing center high performance computing: Rzansel. https:\/\/hpc.llnl.gov\/hardware\/platforms\/rzansel. Accessed 9 Dec 2020"},{"issue":"1","key":"20_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1008196906753","volume":"18","author":"HJ Alme","year":"2001","unstructured":"Alme, H.J., Rodrigue, G.H., Zimmerman, G.B.: Domain decomposition models for parallel Monte Carlo transport. J. Supercomputing 18(1), 5\u201323 (2001)","journal-title":"J. Supercomputing"},{"key":"20_CR3","unstructured":"Brantley, P., et al.: A new implicit Monte Carlo thermal photon transport capability developed using shared Monte Carlo infrastructure. In: The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M and C 2019), Portland, Oregon, pp. 25\u201329. (2019)"},{"issue":"10","key":"20_CR4","doi-asserted-by":"publisher","first-page":"3882","DOI":"10.1016\/j.jcp.2009.02.013","volume":"228","author":"TA Brunner","year":"2009","unstructured":"Brunner, T.A., Brantley, P.S.: An efficient, robust, domain-decomposition algorithm for particle Monte Carlo. J. Comput. Phys. 228(10), 3882\u20133890 (2009)","journal-title":"J. Comput. Phys."},{"issue":"2","key":"20_CR5","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.jcp.2005.07.009","volume":"212","author":"TA Brunner","year":"2006","unstructured":"Brunner, T.A., et al.: Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo. J. Comput. Phys. 212(2), 527\u2013539 (2006)","journal-title":"J. Comput. Phys."},{"key":"20_CR6","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.parco.2019.06.001","volume":"87","author":"JA Ellis","year":"2019","unstructured":"Ellis, J.A., et al.: Optimization of processor allocation for domain decomposed Monte Carlo calculations. Parallel Comput. 87, 77\u201386 (2019)","journal-title":"Parallel Comput."},{"issue":"10","key":"20_CR7","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1016\/j.parco.2014.10.001","volume":"40","author":"N Horelik","year":"2014","unstructured":"Horelik, N., Siegel, A., Forget, B., Smith, K.: Monte Carlo domain decomposition for robust nuclear reactor analysis. Parallel Comput. 40(10), 646\u2013660 (2014)","journal-title":"Parallel Comput."},{"key":"20_CR8","unstructured":"O\u2019Brien, M., et al.: Hybrid CPU-GPU load balancing for Monte Carlo particle transport. In: Proceedings of the 26th International Conference on Transport Theory (ICTT-26), Sorbonne Univeristy, Paris, France (2019)"},{"key":"20_CR9","unstructured":"O\u2019Brien, M.J., Brantley, P.S., Joy, K.I.: Scalable load balancing for massively parallel distributed Monte Carlo particle transport. In: Proceedings of International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M and C 2013), Sun Valley, Idaho, vol. 45, pp. 647\u2013658 (2013)"},{"key":"20_CR10","unstructured":"O\u2019Brien, M.: Dynamic load balancing of parallel Monte Carlo transport calculations via spatial redecomposition. In: Proceedings of the Joint International Topical Meeting on Mathematics and Computation and Supercomputing in Nuclear Applications, pp. 16\u201319 (2007)"},{"key":"20_CR11","unstructured":"Procassini, R., O\u2019Brien, M., Taylor, J.: Load balancing of parallel Monte Carlo transport calculations. In: Proceedings of the 2005 ANS Topical Meeting in Mathematics and Computation, Avignon, France, 12\u201315 September 2005 (2005)"},{"key":"20_CR12","unstructured":"Romano, P.K.: Parallel algorithms for Monte Carlo particle transport simulation on exascale computing architectures. Ph.D. thesis, Massachusetts Institute of Technology (2013)"},{"issue":"1","key":"20_CR13","doi-asserted-by":"publisher","first-page":"815","DOI":"10.15669\/pnst.2.815","volume":"2","author":"JC Wagner","year":"2011","unstructured":"Wagner, J.C., et al.: Hybrid and parallel domain-decomposition methods development to enable Monte Carlo for reactor analyses. Prog. Nucl. Sci. Technol. 2(1), 815\u2013820 (2011)","journal-title":"Prog. Nucl. Sci. Technol."}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-77961-0_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T22:04:28Z","timestamp":1749506668000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-77961-0_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030779603","9783030779610"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-77961-0_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Krakow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"156","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.8","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"212 full and 43 short papers were selected from 479 submissions to the workshops\/ thematic tracks. The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}