Optimized sparse Cholesky factorization on hybrid multicore architectures
• A multithreading technique is proposed to utilize the tree parallelism of Cholesky factorization. • The subtree technique increases the concurrency of the Cholesky factorization and reduces the total kernel launch latency. • The pipelining technique overlaps floating point computations and data tr...
Ausführliche Beschreibung
Autor*in: |
Tang, Meng [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
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Umfang: |
8 |
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Übergeordnetes Werk: |
Enthalten in: Effective mineralization of organic dye under visible-light irradiation over electronic-structure-modulated Sn(Nb1−x Ta x )2O6 solid solutions - Ren, Jian ELSEVIER, 2015, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:26 ; year:2018 ; pages:246-253 ; extent:8 |
Links: |
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DOI / URN: |
10.1016/j.jocs.2018.04.008 |
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Katalog-ID: |
ELV043379931 |
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10.1016/j.jocs.2018.04.008 doi GBV00000000000676.pica (DE-627)ELV043379931 (ELSEVIER)S1877-7503(17)31216-4 DE-627 ger DE-627 rakwb eng 540 VZ 570 VZ BIODIV DE-30 fid PHARM DE-84 fid 44.00 bkl Tang, Meng verfasserin aut Optimized sparse Cholesky factorization on hybrid multicore architectures 2018 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A multithreading technique is proposed to utilize the tree parallelism of Cholesky factorization. • The subtree technique increases the concurrency of the Cholesky factorization and reduces the total kernel launch latency. • The pipelining technique overlaps floating point computations and data transfers to reduce total factorization time. CUDA Elsevier Sparse direct methods Elsevier Sparse matrices Elsevier GPU Elsevier Cholesky factorization Elsevier Gadou, Mohamed oth Rennich, Steven oth Davis, Timothy A. oth Ranka, Sanjay oth Enthalten in Elsevier Ren, Jian ELSEVIER Effective mineralization of organic dye under visible-light irradiation over electronic-structure-modulated Sn(Nb1−x Ta x )2O6 solid solutions 2015 Amsterdam [u.a.] (DE-627)ELV018619908 volume:26 year:2018 pages:246-253 extent:8 https://doi.org/10.1016/j.jocs.2018.04.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_26 GBV_ILN_40 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2011 44.00 Medizin: Allgemeines VZ AR 26 2018 246-253 8 |
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abstract |
• A multithreading technique is proposed to utilize the tree parallelism of Cholesky factorization. • The subtree technique increases the concurrency of the Cholesky factorization and reduces the total kernel launch latency. • The pipelining technique overlaps floating point computations and data transfers to reduce total factorization time. |
abstractGer |
• A multithreading technique is proposed to utilize the tree parallelism of Cholesky factorization. • The subtree technique increases the concurrency of the Cholesky factorization and reduces the total kernel launch latency. • The pipelining technique overlaps floating point computations and data transfers to reduce total factorization time. |
abstract_unstemmed |
• A multithreading technique is proposed to utilize the tree parallelism of Cholesky factorization. • The subtree technique increases the concurrency of the Cholesky factorization and reduces the total kernel launch latency. • The pipelining technique overlaps floating point computations and data transfers to reduce total factorization time. |
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title_short |
Optimized sparse Cholesky factorization on hybrid multicore architectures |
url |
https://doi.org/10.1016/j.jocs.2018.04.008 |
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Gadou, Mohamed Rennich, Steven Davis, Timothy A. Ranka, Sanjay |
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10.1016/j.jocs.2018.04.008 |
up_date |
2024-07-06T18:40:17.825Z |
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