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Revisiting Online Autotuning for Sparse-Matrix Vector Multi..:
, In:
2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
,
De Gonzalo, Simon Garcia
;
Hammond, Simon D.
;
Trott, Christian R.
. - p. 72-80 , 2017
Link:
https://doi.org/10.1109/HPCC-SmartCity-DSS.2017.10
RT T1 <cTitle>2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)</cTitle>: T1 <Title>Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8291913&Exemplar=1&LAN=DE A1 De Gonzalo, Simon Garcia A1 Hammond, Simon D. A1 Trott, Christian R. A1 Hwu, Wen-Mei YR 2017 K1 Hardware K1 Tools K1 Kernel K1 Runtime K1 Computer architecture K1 Tuning K1 Performance evaluation K1 Sparse-Matrix K1 Autotuning K1 Performance K1 Accelerators SP 72 OP 80 LK http://dx.doi.org/https://doi.org/10.1109/HPCC-SmartCity-DSS.2017.10 DO https://doi.org/10.1109/HPCC-SmartCity-DSS.2017.10 SF ELIB - SuUB Bremen
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