Qing Yi
AUGEM: automatically generate high performance dense linear algebra kernels on x86 CPUs
Q Wang, X Zhang, Y Zhang, Q Yi
Proceedings of the international conference on high performance computing …, 2013
POET: Parameterized optimizations for empirical tuning
Q Yi, K Seymour, H You, R Vuduc, D Quinlan
2007 IEEE International Parallel and Distributed Processing Symposium, 1-8, 2007
Transforming loops to recursion for multi-level memory hierarchies
Q Yi, V Adve, K Kennedy
Proceedings of the ACM SIGPLAN 2000 conference on Programming language …, 2000
High Performance Fortran compilation techniques for parallelizing scientific codes
V Adve, G Jin, J Mellor-Crummey, Q Yi
SC'98: Proceedings of the 1998 ACM/IEEE Conference on Supercomputing, 11-11, 1998
Technical and physical match performance of teams in the 2018 FIFA World Cup: Effects of two different playing styles
Q Yi, MA Gómez, L Wang, G Huang, H Zhang, H Liu
Journal of sports sciences 37 (22), 2569-2577, 2019
POET: a scripting language for applying parameterized source‐to‐source program transformations
Q Yi
Software: Practice and Experience 42 (6), 675-706, 2012
Technical demands of different playing positions in the UEFA Champions League
Q Yi, H Jia, H Liu, MÁ Gómez
International Journal of Performance Analysis in Sport 18 (6), 926-937, 2018
Transforming complex loop nests for locality
Q Yi, K Kennedy, V Adve
The Journal Of Supercomputing 27, 219-264, 2004
Understanding stencil code performance on multicore architectures
SMF Rahman, Q Yi, A Qasem
Proceedings of the 8th ACM International Conference on Computing Frontiers, 1-10, 2011
Improving memory hierarchy performance through combined loop interchange and multi-level fusion
Q Yi, K Kennedy
The International Journal of High Performance Computing Applications 18 (2 …, 2004
Automated empirical tuning of scientific codes for performance and power consumption
SF Rahman, J Guo, Q Yi
Proceedings of the 6th International Conference on High Performance and …, 2011
Differences in technical performance of players from ‘the big five’European football leagues in the UEFA Champions League
Q Yi, R Groom, C Dai, H Liu, MÁ Gómez Ruano
Frontiers in psychology 10, 2738, 2019
Advanced optimization strategies in the Rice dHPF compiler
J Mellor‐Crummey, V Adve, B Broom, D Chavarría‐Miranda, R Fowler, ...
Concurrency and Computation: Practice and Experience 14 (8‐9), 741-767, 2002
Variation of match statistics and football teams’ match performance in the group stage of the EUFA Champions league from 2010 to 2017
Q Yi, MÁG Ruano, H Liu, J Sampaio
Kinesiology 51 (2), 170-181, 2019
Evaluation of the technical performance of football players in the UEFA Champions League
Q Yi, MÁ Gómez-Ruano, H Liu, S Zhang, B Gao, F Wunderlich, ...
International journal of environmental research and public health 17 (2), 604, 2020
A highly parallel reuse distance analysis algorithm on GPUs
H Cui, Q Yi, J Xue, L Wang, Y Yang, X Feng
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
The validity and reliability of live football match statistics from champdas master match analysis system
B Gong, Y Cui, Y Gai, Q Yi, MÁ Gómez
Frontiers in Psychology 10, 1339, 2019
Characteristics and optimization of core local network: Big data analysis of football matches
Y Wu, Z Xia, T Wu, Q Yi, R Yu, J Wang
Chaos, Solitons & Fractals 138, 110136, 2020
Semantic-driven parallelization of loops operating on user-defined containers
D Quinlan, M Schordan, Q Yi, BR de Supinski
Languages and Compilers for Parallel Computing: 16th International Workshop …, 2004
Modelling the relationship between match outcome and match performances during the 2019 FIBA Basketball World Cup: a quantile regression analysis
S Zhang, MÁ Gomez, Q Yi, R Dong, A Leicht, A Lorenzo
International Journal of Environmental Research and Public Health 17 (16), 5722, 2020
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Články 1–20