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
Gespeichert in:
| Autor*in: |
Tang, Meng [verfasserIn] |
|---|
| 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.] |
|---|---|
| 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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| 520 | |a • 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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• 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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• 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 |
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