{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:14:15Z","timestamp":1742951655929,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031073113"},{"type":"electronic","value":"9783031073120"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-07312-0_17","type":"book-chapter","created":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T23:03:31Z","timestamp":1653779011000},"page":"334-353","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid Parallel ILU Preconditioner in\u00a0Linear Solver Library GaspiLS"],"prefix":"10.1007","author":[{"given":"Raju","family":"Ram","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Gr\u00fcnewald","sequence":"additional","affiliation":[]},{"given":"Nicolas R.","family":"Gauger","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,29]]},"reference":[{"key":"17_CR1","unstructured":"Threads and PETSc (2021). https:\/\/petsc.org\/release\/miscellaneous\/threads\/. Accessed 14 Dec 2021"},{"key":"17_CR2","unstructured":"Agullo, E., Giraud, L., Guermouche, A., Haidar, A., Roman, J.: MaPHyS or the development of a parallel algebraic domain decomposition solver in the course of the solstice project. In: Sparse Days 2010 Meeting at CERFACS (2010)"},{"issue":"3","key":"17_CR3","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.parco.2010.11.002","volume":"37","author":"JI Aliaga","year":"2011","unstructured":"Aliaga, J.I., Bollh\u00f6fer, M., Mart\u0131, A.F., Quintana-Ort\u0131, E.S., et al.: Exploiting thread-level parallelism in the iterative solution of sparse linear systems. Parallel Comput. 37(3), 183\u2013202 (2011)","journal-title":"Parallel Comput."},{"key":"17_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/978-3-540-92859-1_28","volume-title":"High Performance Computing for Computational Science - VECPAR 2008","author":"JI Aliaga","year":"2008","unstructured":"Aliaga, J.I., Bollh\u00f6fer, M., Mart\u00edn, A.F., Quintana-Ort\u00ed, E.S.: Design, tuning and evaluation of parallel multilevel ILU preconditioners. In: Palma, J.M.L.M., Amestoy, P.R., Dayd\u00e9, M., Mattoso, M., Lopes, J.C. (eds.) VECPAR 2008. LNCS, vol. 5336, pp. 314\u2013327. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-92859-1_28"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Balay, S., et al.: Petsc users manual (2019)","DOI":"10.2172\/1614847"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Belli, R., Hoefler, T.: Notified access: extending remote memory access programming models for producer-consumer synchronization. In: 2015 IEEE International Parallel and Distributed Processing Symposium, pp. 871\u2013881. IEEE (2015)","DOI":"10.1109\/IPDPS.2015.30"},{"key":"17_CR7","unstructured":"Bollh\u00f6fer, M., Saad, Y., Schenk, O.: Ilupack-preconditioning software package. Release 2 (2006). http:\/\/ilupack.tu-bs.de\/"},{"issue":"2","key":"17_CR8","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1137\/S106482759732678X","volume":"21","author":"XC Cai","year":"1999","unstructured":"Cai, X.C., Sarkis, M.: A restricted additive Schwarz preconditioner for general sparse linear systems. SIAM J. Sci. Comput. 21(2), 792\u2013797 (1999)","journal-title":"SIAM J. Sci. Comput."},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Chen, Q., Ghai, A., Jiao, X.: HILUCSI: simple, robust, and fast multilevel ILU for large-scale saddle-point problems from PDEs. Numer. Linear Algebra Appl. 28, e2400 (2021)","DOI":"10.1002\/nla.2400"},{"issue":"2","key":"17_CR10","doi-asserted-by":"publisher","first-page":"C169","DOI":"10.1137\/140968896","volume":"37","author":"E Chow","year":"2015","unstructured":"Chow, E., Patel, A.: Fine-grained parallel incomplete LU factorization. SIAM J. Sci. Comput. 37(2), C169\u2013C193 (2015)","journal-title":"SIAM J. Sci. Comput."},{"issue":"5","key":"17_CR11","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1023\/B:BITN.0000014563.33622.1d","volume":"43","author":"E Efstathiou","year":"2003","unstructured":"Efstathiou, E., Gander, M.J.: Why restricted additive Schwarz converges faster than additive Schwarz. BIT Numer. Math. 43(5), 945\u2013959 (2003)","journal-title":"BIT Numer. Math."},{"key":"17_CR12","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/3-540-31619-1_8","volume-title":"Numerical Solution of Partial Differential Equations on Parallel Computers","author":"RD Falgout","year":"2006","unstructured":"Falgout, R.D., Jones, J.E., Yang, U.M.: The design and implementation of hypre, a library of parallel high performance preconditioners. In: Bruaset, A.M., Tveito, A. (eds.) Numerical Solution of Partial Differential Equations on Parallel Computers, pp. 267\u2013294. Springer, Berlin (2006)"},{"key":"17_CR13","unstructured":"Forum, G.: GASPI forum - forum of the PGAS API GASPI (2020). http:\/\/www.gaspi.de"},{"key":"17_CR14","unstructured":"Ghai, A., Jiao, X.: Robust optimal-complexity multilevel ilu for predominantly symmetric systems. arXiv preprint arXiv:1901.03249 (2019)"},{"key":"17_CR15","unstructured":"Giraud, L., Tuminaro, R.: Algebraic domain decomposition preconditioners. In: Magoules, F. (ed.) Mesh Partitioning Techniques And Domain Decomposition Methods, pp. 187\u2013216. Saxe-Coburg Publications, Kippen (2006)"},{"key":"17_CR16","unstructured":"Gr\u00fcnewald, D., Simmendinger, C.: The GASPI API specification and its implementation GPI 2.0. In: Proceedings of the 7th International Conference on PGAS Programming Models, vol. 243 (2013)"},{"issue":"3","key":"17_CR17","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1145\/1089014.1089021","volume":"31","author":"MA Heroux","year":"2005","unstructured":"Heroux, M.A., Bartlett, R.A., Howle, V.E., Hoekstra, R.J., Hu, J.J., Kolda, T.G., Lehoucq, R.B., Long, K.R., Pawlowski, R.P., Phipps, E.T., et al.: An overview of the trilinos project. ACM Trans. Math. Softw. 31(3), 397\u2013423 (2005)","journal-title":"ACM Trans. Math. Softw."},{"key":"17_CR18","unstructured":"ITWM Fraunhofer: GaspiLS - a linear solver for the Exascale Era (2020). https:\/\/www.gaspils.de"},{"key":"17_CR19","unstructured":"ITWM Fraunhofe: GPI-2 - Programming next generation supercomputers (2020). http:\/\/www.gpi-site.com"},{"key":"17_CR20","unstructured":"Karypis, G., Kumar, V.: METIS: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices. Technical Report; 97-061 (1997)"},{"issue":"1","key":"17_CR21","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1137\/S1064827595287997","volume":"20","author":"G Karypis","year":"1998","unstructured":"Karypis, G., Kumar, V.: A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J. Sci. Comput. 20(1), 359\u2013392 (1998)","journal-title":"SIAM J. Sci. Comput."},{"key":"17_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/978-3-662-48096-0_36","volume-title":"Euro-Par 2015: Parallel Processing","author":"D LaSalle","year":"2015","unstructured":"LaSalle, D., Karypis, G.: Efficient nested dissection for multicore architectures. In: Tr\u00e4ff, J.L., Hunold, S., Versaci, F. (eds.) Euro-Par 2015. LNCS, vol. 9233, pp. 467\u2013478. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-48096-0_36"},{"key":"17_CR23","unstructured":"Leicht, T., J\u00e4gersk\u00fcpper, J., Vollmer, D., Schw\u00f6ppe, A., Hartmann, R., Fiedler, J., Schlauch, T.: DLR-project digital-X-next generation CFD solver \u2019flucs\u2019 (2016)"},{"issue":"2","key":"17_CR24","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1137\/S1064827502405094","volume":"25","author":"N Li","year":"2003","unstructured":"Li, N., Saad, Y., Chow, E.: Crout versions of ILU for general sparse matrices. SIAM J. Sci. Comput. 25(2), 716\u2013728 (2003)","journal-title":"SIAM J. Sci. Comput."},{"key":"17_CR25","doi-asserted-by":"crossref","unstructured":"Prokopenko, A., Siefert, C.M., Hu, J.J., Hoemmen, M., Klinvex, A.: Ifpack2 User\u2019s Guide 1.0. Tech. Rep. SAND2016-5338, Sandia National Labs (2016)","DOI":"10.2172\/1259544"},{"key":"17_CR26","doi-asserted-by":"publisher","unstructured":"Rajamanickam, S., Boman, E.G., Heroux, M.A.: ShyLU: a hybrid-hybrid solver for multicore platforms. In: 2012 IEEE 26th International Parallel and Distributed Processing Symposium, pp. 631\u2013643 (2012). https:\/\/doi.org\/10.1109\/IPDPS.2012.64","DOI":"10.1109\/IPDPS.2012.64"},{"key":"17_CR27","unstructured":"Ram, R., Gr\u00fcnewald, D., Gauger, N.R.: Data structures to implement the Sparse Vector in Crout ILU preconditioner (2019), Sparse Days 2019"},{"key":"17_CR28","doi-asserted-by":"publisher","unstructured":"Simmendinger, C., Rahn, M., Gruenewald, D.: The GASPI API: a failure tolerant PGAS API for Asynchronous Dataflow on heterogeneous architectures. In: Resch, M., Bez, W., Focht, E., Kobayashi, H., Patel, N. (eds.) Sustained Simulation Performance 2014, pp. 17\u201332. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-10626-7_2","DOI":"10.1007\/978-3-319-10626-7_2"},{"key":"17_CR29","unstructured":"Stoyanov, D., Pfreundt, F.J.: Hybrid-parallel sparse matrix-vector multiplication and iterative linear solvers with the communication library GPI. WSEAS Trans. Inf. Sci. Appl. 11 (2014)"},{"key":"17_CR30","doi-asserted-by":"crossref","unstructured":"Yamazaki, I., Ng, E., Li, X.: Pdslin user guide. Tech. rep., Lawrence Berkeley National Lab. (LBNL), Berkeley, CA, USA (2011)","DOI":"10.2172\/1050673"}],"container-title":["Lecture Notes in Computer Science","High Performance Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07312-0_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T12:16:10Z","timestamp":1673957770000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07312-0_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031073113","9783031073120"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07312-0_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"29 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISC High Performance","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on High Performance Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hamburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"supercomputing2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Linklings","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","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":"18","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":"0","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":"34% - 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":"4","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":"5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"For the workshops a 27 papers have been accepted for publication out of a total of 43 submissions.","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)"}}]}}