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Tuning Pipelined Scientific Data Analyses for Efficient Multicore Execution
AuthID
P-00M-4KC
3
Author(s)
Pereira, A
·
Onofre, A
·
Proenca, A
1
Editor(s)
Smari, WW
Document Type
Proceedings Paper
Year published
2016
Published
in
2016 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2016)
Pages: 751-758 (8)
Conference
14Th International Conference on High Performance Computing & Simulation (Hpcs),
Date:
JUL 18-22, 2016,
Location:
Innsbruck, AUSTRIA,
Sponsors:
Assoc Comp Machinery, IEEE, Int Federation Informat Proc, ACM SIGACT, ACM SIGAPP, ACM SIGARCH, ACM SIGMICRO, ACM SIGMOD, ACM SIGSIM, IEEE Austria Sect, IEEE Dayton Sect, Altair PBS Works, E4 Comp Engn, European Grid Infrastructure, HUAWEI Technologies Co Ltd, IBM, Intel Corp, Nice Software, Nvidia, PRACE
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Publication Identifiers
DOI
:
10.1109/hpcsim.2016.7568410
SCOPUS
: 2-s2.0-84991577849
Wos
: WOS:000389590600102
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