{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:33:52Z","timestamp":1743075232033,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031061554"},{"type":"electronic","value":"9783031061561"}],"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\/978-3-031-06156-1_15","type":"book-chapter","created":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T20:29:39Z","timestamp":1654720179000},"page":"179-190","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Accelerating FFT Using NEC SX-Aurora Vector Engine"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9253-8275","authenticated-orcid":false,"given":"Pablo","family":"Vizcaino","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3559-4825","authenticated-orcid":false,"given":"Filippo","family":"Mantovani","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7489-4727","authenticated-orcid":false,"given":"Jesus","family":"Labarta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,9]]},"reference":[{"key":"15_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1007\/978-3-319-75178-8_52","volume-title":"Euro-Par 2017: Parallel Processing Workshops","author":"M Anderson","year":"2018","unstructured":"Anderson, M., Brodowicz, M., Swany, M., Sterling, T.: Accelerating the 3-D FFT using a heterogeneous FPGA architecture. In: Heras, D.B., Boug\u00e9, L. (eds.) Euro-Par 2017. LNCS, vol. 10659, pp. 653\u2013663. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-75178-8_52"},{"key":"15_CR2","first-page":"82","volume":"2","author":"D Bailey","year":"1987","unstructured":"Bailey, D.: A high-performance FFT algorithm for vector supercomputers. Int. J. High Perform. Comput. Appl. 2, 82\u201387 (1987)","journal-title":"Int. J. High Perform. Comput. Appl."},{"unstructured":"Chow, A.C., Fossum, G.C., Brokenshire, D.A.: A programming example: large FFT on the cell broadband engine. Glob. Signal Process. Expo (GSPx) (2005)","key":"15_CR3"},{"key":"15_CR4","doi-asserted-by":"publisher","DOI":"10.1201\/9780367802332","volume-title":"Inside the FFT Black Box: Serial and Parallel Fast Fourier Transform Algorithms","author":"E Chu","year":"1999","unstructured":"Chu, E., George, A.: Inside the FFT Black Box: Serial and Parallel Fast Fourier Transform Algorithms. CRC Press, Boca Raton (1999)"},{"doi-asserted-by":"crossref","unstructured":"Franchetti, F., Puschel, M.: SIMD vectorization of non-two-power sized FFTs. In: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP 2007, vol. 2, pp. II-17\u2013II-20, April 2007","key":"15_CR5","DOI":"10.1109\/ICASSP.2007.366161"},{"unstructured":"G\u00f3mez Crespo, C., et al.: Optimizing sparse matrix-vector multiplication in NEC SX-Aurora vector engine. In: Proceedings of the 26th Symposium on Principles and Practice of Parallel Programming (2021, accepted)","key":"15_CR6"},{"doi-asserted-by":"crossref","unstructured":"Jansson, N.: Spectral Element simulations on the NEC SX-Aurora TSUBASA. In: The International Conference on High Performance Computing in Asia-Pacific Region, pp. 32\u201339, January 2021","key":"15_CR7","DOI":"10.1145\/3432261.3432265"},{"doi-asserted-by":"crossref","unstructured":"Komatsu, K., et al.: Performance Evaluation of a Vector Supercomputer SX-Aurora TSUBASA. In: SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 685\u2013696, November 2018","key":"15_CR8","DOI":"10.1109\/SC.2018.00057"},{"issue":"8","key":"15_CR9","doi-asserted-by":"publisher","first-page":"8326","DOI":"10.1007\/s11227-020-03591-6","volume":"77","author":"SI Malkovsky","year":"2021","unstructured":"Malkovsky, S.I., et al.: Evaluating the performance of FFT library implementations on modern hybrid computing systems. J. Supercomput. 77(8), 8326\u20138354 (2021). https:\/\/doi.org\/10.1007\/s11227-020-03591-6","journal-title":"J. Supercomput."},{"issue":"2","key":"15_CR10","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1145\/321450.321457","volume":"15","author":"MC Pease","year":"1968","unstructured":"Pease, M.C.: An adaptation of the fast fourier transform for parallel processing. J. ACM (JACM) 15(2), 252\u2013264 (1968)","journal-title":"J. ACM (JACM)"},{"issue":"1","key":"15_CR11","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/S0167-8191(84)90413-7","volume":"1","author":"PN Swarztrauber","year":"1984","unstructured":"Swarztrauber, P.N.: FFT algorithms for vector computers. Parallel Comput. 1(1), 45\u201363 (1984)","journal-title":"Parallel Comput."},{"unstructured":"Vizcaino Serrano, P.: Evaluaci\u00f3n y optimizaci\u00f3n de algoritmos fast fourier transform en SX-Aurora NEC (2020)","key":"15_CR12"},{"key":"15_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1007\/978-3-030-57675-2_16","volume-title":"Euro-Par 2020: Parallel Processing","author":"Q Wang","year":"2020","unstructured":"Wang, Q., Li, D., Huang, X., Shen, S., Mei, S., Liu, J.: Optimizing FFT-based convolution on ARMv8 multi-core CPUs. In: Malawski, M., Rzadca, K. (eds.) Euro-Par 2020. LNCS, vol. 12247, pp. 248\u2013262. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-57675-2_16"},{"unstructured":"Yamada, Y., Momose, S.: Vector engine processor of NEC\u2019s brand-new supercomputer SX-Aurora TSUBASA. In: Proceedings of A Symposium on High Performance Chips, Hot Chips, vol. 30, pp. 19\u201321 (2018)","key":"15_CR14"}],"container-title":["Lecture Notes in Computer Science","Euro-Par 2021: Parallel Processing Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06156-1_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T20:30:55Z","timestamp":1654720255000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06156-1_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031061554","9783031061561"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06156-1_15","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":"9 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Euro-Par","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"30 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"europar2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.euro-par.org\/","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":"136","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":"39","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":"29% - 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":"6","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":"The conference was held virtually due to the COVID-19 pandemic.","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)"}}]}}