{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T13:45:22Z","timestamp":1782999922382,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T00:00:00Z","timestamp":1783209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,6]]},"DOI":"10.1145\/3797905.3800553","type":"proceedings-article","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T11:50:37Z","timestamp":1782993037000},"page":"1259-1271","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AdaPolySI: Adaptive Polynomial Filtered Subspace Iteration for Hermitian Interior Eigenvalue Problems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8690-5631","authenticated-orcid":false,"given":"Yuhui","family":"Ni","sequence":"first","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1128-9758","authenticated-orcid":false,"given":"Xiaofei","family":"Xu","sequence":"additional","affiliation":[{"name":"Xiangtan University, Xiangtan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7827-6304","authenticated-orcid":false,"given":"Shengguo","family":"Li","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7814-486X","authenticated-orcid":false,"given":"Juan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xiangtan University, Xiangtan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9941-9885","authenticated-orcid":false,"given":"Juan","family":"Chen","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, China, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4972-9339","authenticated-orcid":false,"given":"Jianchun","family":"Wang","sequence":"additional","affiliation":[{"name":"China Ship Scientific Research Center, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1144-6772","authenticated-orcid":false,"given":"Jose E.","family":"Roman","sequence":"additional","affiliation":[{"name":"Universitat Polit\u00e8cnica de Val\u00e8ncia, Valencia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,5]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.5555\/323215"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719581"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Chris\u00a0G Baker Ulrich\u00a0L Hetmaniuk Richard\u00a0B Lehoucq and Heidi\u00a0K Thornquist. 2009. Anasazi software for the numerical solution of large-scale eigenvalue problems. ACM Transactions on Mathematical Software (TOMS) 36 3 (2009) 1\u201323.","DOI":"10.1145\/1527286.1527287"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Amartya\u00a0S Banerjee Lin Lin Wei Hu Chao Yang and John\u00a0E Pask. 2016. Chebyshev polynomial filtered subspace iteration in the discontinuous Galerkin method for large-scale electronic structure calculations. The Journal of chemical physics 145 15 (2016).","DOI":"10.1063\/1.4964861"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"T. Davis and Y. Hu. 2011. The University of Florida Sparse Matrix Collection. ACM Trans. Math. Softw. 38 1 (2011) 1:1\u20131:25.","DOI":"10.1145\/2049662.2049663"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.5555\/264989"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"crossref","unstructured":"Edoardo Di\u00a0Napoli Eric Polizzi and Yousef Saad. 2016. Efficient estimation of eigenvalue counts in an interval. Numerical Linear Algebra with Applications 23 4 (2016) 674\u2013692.","DOI":"10.1002\/nla.2048"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Jed\u00a0A Duersch Meiyue Shao Chao Yang and Ming Gu. 2018. A robust and efficient implementation of LOBPCG. SIAM Journal on Scientific Computing 40 5 (2018) C655\u2013C676.","DOI":"10.1137\/17M1129830"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Haw-Ren Fang and Yousef Saad. 2012. A filtered Lanczos procedure for extreme and interior eigenvalue problems. SIAM Journal on Scientific Computing 34 4 (2012) A2220\u2013A2246.","DOI":"10.1137\/110836535"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Brendan Gavin Agnieszka Mi\u0119dlar and Eric Polizzi. 2018. FEAST eigensolver for nonlinear eigenvalue problems. Journal of computational science 27 (2018) 107\u2013117.","DOI":"10.1016\/j.jocs.2018.05.006"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Vicente Hernandez Jose\u00a0E Roman and Vicente Vidal. 2005. SLEPc: A scalable and flexible toolkit for the solution of eigenvalue problems. ACM Transactions on Mathematical Software (TOMS) 31 3 (2005) 351\u2013362.","DOI":"10.1145\/1089014.1089019"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Ulrich Hetmaniuk and Rich Lehoucq. 2006. Basis selection in LOBPCG. J. Comput. Phys. 218 1 (2006) 324\u2013332.","DOI":"10.1016\/j.jcp.2006.02.007"},{"key":"e_1_3_3_2_14_2","unstructured":"Takeo Hoshi. [n. d.]. ELSES matrix library. http:\/\/www.elses.jp\/matrix\/"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Tsutomu Ikegami Tetsuya Sakurai and Umpei Nagashima. 2010. A filter diagonalization for generalized eigenvalue problems based on the Sakurai\u2013Sugiura projection method. J. Comput. Appl. Math. 233 8 (2010) 1927\u20131936.","DOI":"10.1016\/j.cam.2009.09.029"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Zhongxiao Jia and Kailiang Zhang. 2023. A FEAST SVDsolver based on Chebyshev\u2013Jackson series for computing partial singular triplets of large matrices. Journal of Scientific Computing 97 1 (2023) 21.","DOI":"10.1007\/s10915-023-02342-y"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Zhongxiao Jia and Kailiang Zhang. 2024. An augmented matrix-based CJ-FEAST SVDsolver for computing a partial singular value decomposition with the singular values in a given interval. SIAM J. Matrix Anal. Appl. 45 1 (2024) 24\u201358.","DOI":"10.1137\/23M1547500"},{"key":"e_1_3_3_2_18_2","unstructured":"George Karypis Kirk Schloegel and Vipin Kumar. 2003. Parmetis. Parallel graph partitioning and sparse matrix ordering library. Version 2 (2003)."},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Eric Kleinherbers Thomas Stegmann and Nikodem Szpak. 2023. Electronic transport in bent carbon nanotubes. Physical Review B 107 19 (2023) 195424.","DOI":"10.1103\/PhysRevB.107.195424"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"crossref","unstructured":"Andrew\u00a0V Knyazev. 2001. Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method. SIAM journal on scientific computing 23 2 (2001) 517\u2013541.","DOI":"10.1137\/S1064827500366124"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-92040-5_17"},{"key":"e_1_3_3_2_22_2","volume-title":"Applied analysis","author":"Lanczos Cornelius","year":"1988","unstructured":"Cornelius Lanczos. 1988. Applied analysis. Courier Corporation."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719628"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Ruipeng Li Yuanzhe Xi Lucas Erlandson and Yousef Saad. 2019. The eigenvalues slicing library (EVSL): Algorithms implementation and software. SIAM Journal on Scientific Computing 41 4 (2019) C393\u2013C415.","DOI":"10.1137\/18M1170935"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"crossref","unstructured":"Ruipeng Li Yuanzhe Xi Eugene Vecharynski Chao Yang and Yousef Saad. 2016. A thick-restart Lanczos algorithm with polynomial filtering for Hermitian eigenvalue problems. SIAM Journal on Scientific Computing 38 4 (2016) A2512\u2013A2534.","DOI":"10.1137\/15M1054493"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"crossref","unstructured":"Lin Lin Yousef Saad and Chao Yang. 2016. Approximating spectral densities of large matrices. SIAM review 58 1 (2016) 34\u201365.","DOI":"10.1137\/130934283"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"crossref","unstructured":"Ping\u00a0Tak Peter\u00a0Tang and Eric Polizzi. 2014. FEAST as a subspace iteration eigensolver accelerated by approximate spectral projection. SIAM J. Matrix Anal. Appl. 35 2 (2014) 354\u2013390.","DOI":"10.1137\/13090866X"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"crossref","unstructured":"Andreas Pieper Moritz Kreutzer Andreas Alvermann Martin Galgon Holger Fehske Georg Hager Bruno Lang and Gerhard Wellein. 2016. High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations. J. Comput. Phys. 325 (2016) 226\u2013243.","DOI":"10.1016\/j.jcp.2016.08.027"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Manuel Pino and Jose\u00a0E Roman. 2024. Correlated volumes for extended wave functions on a random-regular graph. Physical Review B 109 18 (2024) 184204.","DOI":"10.1103\/PhysRevB.109.184204"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"crossref","unstructured":"Wolfgang Plank Rudolf Pfeiffer Christoph Schaman Hans Kuzmany Matteo Calvaresi Francesco Zerbetto and Jannik Meyer. 2010. Electronic structure of carbon nanotubes with ultrahigh curvature. ACS nano 4 8 (2010) 4515\u20134522.","DOI":"10.1021\/nn100615d"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Eric Polizzi. 2009. Density-matrix-based algorithm for solving eigenvalue problems. Physical Review B\u2014Condensed Matter and Materials Physics 79 11 (2009) 115112.","DOI":"10.1103\/PhysRevB.79.115112"},{"key":"e_1_3_3_2_32_2","unstructured":"Eric Polizzi. 2020. FEAST eigenvalue solver v4. 0 user guide. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2002.04807 (2020)."},{"key":"e_1_3_3_2_33_2","volume-title":"An introduction to the approximation of functions","author":"Rivlin Theodore\u00a0J","year":"1981","unstructured":"Theodore\u00a0J Rivlin. 1981. An introduction to the approximation of functions. Courier Corporation."},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970739"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Tetsuya Sakurai and Hiroshi Sugiura. 2003. A projection method for generalized eigenvalue problems using numerical integration. Journal of computational and applied mathematics 159 1 (2003) 119\u2013128.","DOI":"10.1016\/S0377-0427(03)00565-X"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Tetsuya Sakurai and Hiroto Tadano. 2007. CIRR: a Rayleigh-Ritz type method with contour integral for generalized eigenvalue problems. Hokkaido mathematical journal 36 4 (2007) 745\u2013757.","DOI":"10.14492\/hokmj\/1272848031"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"crossref","unstructured":"Ahmed Sameh and Zhanye Tong. 2000. The trace minimization method for the symmetric generalized eigenvalue problem. Journal of computational and applied mathematics 123 1-2 (2000) 155\u2013175.","DOI":"10.1016\/S0377-0427(00)00391-5"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"crossref","unstructured":"Gerard\u00a0LG Sleijpen and Henk\u00a0A Van\u00a0der Vorst. 2000. A Jacobi\u2013Davidson iteration method for linear eigenvalue problems. SIAM review 42 2 (2000) 267\u2013293.","DOI":"10.1137\/S0036144599363084"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"crossref","unstructured":"Gilbert\u00a0W Stewart. 2002. A Krylov\u2013Schur algorithm for large eigenproblems. SIAM J. Matrix Anal. Appl. 23 3 (2002) 601\u2013614.","DOI":"10.1137\/S0895479800371529"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"crossref","unstructured":"Jan Winkelmann Paul Springer and Edoardo\u00a0Di Napoli. 2019. ChASE: Chebyshev Accelerated Subspace iteration Eigensolver for sequences of Hermitian eigenvalue problems. ACM Transactions on Mathematical Software (TOMS) 45 2 (2019) 1\u201334.","DOI":"10.1145\/3313828"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539781.3539792"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"crossref","unstructured":"Ichitaro Yamazaki Stanimire Tomov and Jack Dongarra. 2015. Mixed-precision Cholesky QR factorization and its case studies on multicore CPU with multiple GPUs. SIAM Journal on Scientific Computing 37 3 (2015) C307\u2013C330.","DOI":"10.1137\/14M0973773"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3577193.3593726"},{"key":"e_1_3_3_2_44_2","unstructured":"Fan Yuan and Shengguo Li. 2022. YHAMG: High-Performance Hybrid Algebraic Multigrid Solver. https:\/\/gitee.com\/e-level-parallel-algorithm\/yhamg."},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Fan Yuan Xiaojian Yang Yunqing Huang Dezun Dong Chuanfu Xu Jie Liu Xiaoqiang Yue Shengguo Li and Hongxia Wang. 2025. CRAMG: A Communication-Reduced Algebraic Multigrid Method. ICS (2025).","DOI":"10.1145\/3721145.3725764"},{"key":"e_1_3_3_2_46_2","unstructured":"Tianqi Zhang and Fei Xue. 2024. A Chebyshev Locally Optimal Block Preconditioned Conjugate Gradient Method for Product and Standard Symmetric Eigenvalue Problems. SIAM J. Matrix Anal. Appl. 45 4 (2024) 2211\u20132242."},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"crossref","unstructured":"Yunkai Zhou and Yousef Saad. 2007. A Chebyshev\u2013Davidson algorithm for large symmetric eigenproblems. SIAM J. Matrix Anal. Appl. 29 3 (2007) 954\u2013971.","DOI":"10.1137\/050630404"}],"event":{"name":"ICS '26: 2026 International Conference on Supercomputing","location":"Belfast United Kingdom","acronym":"ICS '26","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing","SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 40th ACM International Conference on Supercomputing"],"original-title":[],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T13:05:18Z","timestamp":1782997518000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3797905.3800553"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,5]]},"references-count":46,"alternative-id":["10.1145\/3797905.3800553","10.1145\/3797905"],"URL":"https:\/\/doi.org\/10.1145\/3797905.3800553","relation":{},"subject":[],"published":{"date-parts":[[2026,7,5]]},"assertion":[{"value":"2026-07-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}