{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:59:12Z","timestamp":1777676352033,"version":"3.51.4"},"reference-count":13,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2007,11,1]],"date-time":"2007-11-01T00:00:00Z","timestamp":1193875200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of High Performance Computing Applications"],"published-print":{"date-parts":[[2007,11]]},"abstract":"<jats:p>We present a method for automatically selecting optimal implementations of sparse matrix-vector operations. Our software \u201cAcCELS\u201d (Accelerated Compress-storage Elements for Linear Solvers) involves a setup phase that probes machine characteristics, and a run-time phase where stored characteristics are combined with a measure of the actual sparse matrix to find the optimal kernel implementation. We present a performance model that is shown to be accurate over a large range of matrices.<\/jats:p>","DOI":"10.1177\/1094342007083801","type":"journal-article","created":{"date-parts":[[2007,10,29]],"date-time":"2007-10-29T10:19:04Z","timestamp":1193653144000},"page":"467-484","source":"Crossref","is-referenced-by-count":24,"title":["Performance Optimization and Modeling of Blocked Sparse Kernels"],"prefix":"10.1177","volume":"21","author":[{"given":"Alfredo","family":"Buttari","sequence":"first","affiliation":[{"name":"INNOVATIVE COMPUTING LABORATORY, UNIVERSITY OF TENNESSEE, KNOXVILLE, TN,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"Eijkhout","sequence":"additional","affiliation":[{"name":"TEXAS ADVANCED COMPUTING LABORATORY, THE UNIVERSITY OF TEXAS AT AUSTIN"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julien","family":"Langou","sequence":"additional","affiliation":[{"name":"DEPARTMENT OF MATHEMATICAL SCIENCES, UNIVERSITY OF COLORADO AT DENVER AND\r                        HEALTH SCIENCES CENTER, CO"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvatore","family":"Filippone","sequence":"additional","affiliation":[{"name":"TOR VERGATA UNIVERSITY, ROME, ITALY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2007,11,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479899358194"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611971538"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1145\/305658.287640"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1177\/1094342003017002002"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1145\/365723.365732"},{"key":"atypb6","volume-title":"Workshop on Profile and Feedback-Directed Compilation","author":"Im, E.-J."},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1177\/1094342004041296"},{"key":"atypb8","volume-title":"Sparse Gaussian Elimination on High Performance Computers, Ph. D. thesis","author":"Li, X.S.","year":"1996"},{"key":"atypb9","volume-title":"Proceedings of SuperComputing 99","author":"Pinar, A."},{"key":"atypb10","volume-title":"Proceedings of the 8th SIAM Conference on Parallel Processing for Scientific Computing","author":"Toledo, S."},{"key":"atypb11","volume-title":"Proceedings of SciDAC 2005","author":"Vuduc, R."},{"key":"atypb12","volume-title":"Automatic Performance Tuning of Sparse Matrix Kernels, Ph. D. thesis","author":"Vuduc, R.W.","year":"2003"},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8191(00)00087-9"}],"container-title":["The International Journal of High Performance Computing Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1094342007083801","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1094342007083801","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:18:34Z","timestamp":1777450714000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1094342007083801"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,11]]},"references-count":13,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2007,11]]}},"alternative-id":["10.1177\/1094342007083801"],"URL":"https:\/\/doi.org\/10.1177\/1094342007083801","relation":{},"ISSN":["1094-3420","1741-2846"],"issn-type":[{"value":"1094-3420","type":"print"},{"value":"1741-2846","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,11]]}}}