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1
von Z. Bai ; J. Demmel ; Block Multishift ; et al.
ftp://ftp.irisa.fr/pub/mirrors/netlib/lapack/lawns/lawn08.ps
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2
von Block Multishift ; Qr Algorithm ; G. H. Golub ; et al.
http://www.netlib.org/lapack/lawns/lawn08.ps.
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3
von Mr (i: F ; Tai-lin (rc-ncc) Gragg ; William B. (-nps ; et al.
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4
von Agullo, Emmanuel ; Buttari, Alfredo ; Byckling, Mikko ; et al.
https://inria.hal.science/hal-01473475 ; [Research Report] RR-9035, Inria Bordeaux Sud-Ouest; CNRS-IRIT; Intel corporation; Université Bordeaux. 2017, pp.15.
Schlagworte: manycore parallelism; Intel KNL; sparse direct solver; runtime system; portability; high-performance computing; energy efficiency; [INFO.INFO-DC]Computer Science [cs]/Distributed; Parallel; and Cluster Computing [cs.DC]; [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS]
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5
von Agullo, Emmanuel ; Buttari, Alfredo ; Byckling, Mikko ; et al.
https://inria.hal.science/hal-01473475 ; [Research Report] RR-9035, Inria Bordeaux Sud-Ouest; CNRS-IRIT; Intel corporation; Université Bordeaux. 2017, pp.15.
Schlagworte: manycore parallelism; Intel KNL; sparse direct solver; runtime system; portability; high-performance computing; energy efficiency; [INFO.INFO-DC]Computer Science [cs]/Distributed; Parallel; and Cluster Computing [cs.DC]; [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS]
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6
von Agullo, Emmanuel ; Buttari, Alfredo ; Byckling, Mikko ; et al.
https://hal.inria.fr/hal-01473475 ; [Research Report] RR-9035, Inria Bordeaux Sud-Ouest; CNRS-IRIT; Intel corporation; Université Bordeaux. 2017, pp.15.
Schlagworte: Intel KNL; portability; energy efficiency; high-performance computing; runtime system; sparse direct solver; manycore parallelism; [INFO.INFO-DC]Computer Science [cs]/Distributed; Parallel; and Cluster Computing [cs.DC]; [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS]
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7
von Agullo, Emmanuel ; Buttari, Alfredo ; Byckling, Mikko ; et al.
https://inria.hal.science/hal-01473475 ; [Research Report] RR-9035, Inria Bordeaux Sud-Ouest; CNRS-IRIT; Intel corporation; Université Bordeaux. 2017, pp.15.
Schlagworte: manycore parallelism; Intel KNL; sparse direct solver; runtime system; portability; high-performance computing; energy efficiency; [INFO.INFO-DC]Computer Science [cs]/Distributed; Parallel; and Cluster Computing [cs.DC]; [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS]
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