Juan M. Cebrián
Juan M. Cebrián
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Zitiert von
Zitiert von
Energy efficiency analysis of GPUs
JM Cebri'n, GD Guerrero, JM Garcia
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
ParVec: vectorizing the PARSEC benchmark suite
JM Cebrian, M Jahre, L Natvig
Computing 97 (11), 1077-1100, 2015
Power token balancing: Adapting CMPs to power constraints for parallel multithreaded workloads
JM Cebri, JL Aragón, S Kaxiras
2011 IEEE International Parallel & Distributed Processing Symposium, 431-442, 2011
Scalability analysis of AVX-512 extensions
JM Cebrian, L Natvig, M Jahre
The Journal of supercomputing 76 (3), 2082-2097, 2020
Stencil codes on a vector length agnostic architecture
A Armejach, H Caminal, JM Cebrian, R González-Alberquilla, ...
Proceedings of the 27th International Conference on Parallel Architectures …, 2018
Optimized hardware for suboptimal software: The case for SIMD-aware benchmarks
JM Cebrian, M Jahre, L Natvig
2014 IEEE International Symposium on Performance Analysis of Systems and …, 2014
Using Arm’s scalable vector extension on stencil codes
A Armejach, H Caminal, JM Cebrian, R Langarita, R González-Alberquilla, ...
The Journal of Supercomputing 76 (3), 2039-2062, 2020
Performance and energy impact of parallelization and vectorization techniques in modern microprocessors
JM Cebrián, L Natvig, JC Meyer
Computing 96 (12), 1179-1193, 2014
Improving energy efficiency through parallelization and vectorization on intel core i5 and i7 processors
JM Cebrian, L Natvig, JC Meyer
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
MLP-aware instruction queue resizing: The key to power-efficient performance
P Petoumenos, G Psychou, S Kaxiras, JM Cebrian Gonzalez, JL Aragon
Architecture of Computing Systems-ARCS 2010: 23rd International Conference …, 2010
Efficient microarchitecture policies for accurately adapting to power constraints
JM Cebrián, JL Aragón, JM García, P Petoumenos, S Kaxiras
2009 IEEE International Symposium on Parallel & Distributed Processing, 1-12, 2009
V-pfordelta: Data compression for energy efficient computation of time series
A Al Hasib, JM Cebrian, L Natvig
2015 IEEE 22nd International Conference on High Performance Computing (HiPC …, 2015
Modeling the impact of permanent faults in caches
D Sánchez, Y Sazeides, JM Cebrián, JM García, JL Aragón
ACM Transactions on Architecture and Code Optimization (TACO) 10 (4), 1-23, 2013
Temperature effects on on-chip energy measurements
JM Cebrian, L Natvig
2013 International Green Computing Conference Proceedings, 1-6, 2013
Improving predication efficiency through compaction/restoration of simd instructions
A Barredo, JM Cebrian, M Moretó, M Casas, M Valero
2020 IEEE international symposium on high performance computer architecture …, 2020
High-throughput fuzzy clustering on heterogeneous architectures
JM Cebrian, B Imbernón, J Soto, JM García, JM Cecilia
Future generation computer systems 106, 401-411, 2020
A vectorized k-means algorithm for compressed datasets: design and experimental analysis
A Al Hasib, JM Cebrian, L Natvig
The Journal of Supercomputing 74, 2705-2728, 2018
Code modernization strategies to 3-D Stencil-based applications on Intel Xeon Phi: KNC and KNL
JM Cebrián, JM Cecilia, M Hernández, JM García
Computers & Mathematics with Applications 74 (10), 2557-2571, 2017
Evaluation of the 3-D finite difference implementation of the acoustic diffusion equation model on massively parallel architectures
M Hernández, B Imbernón, JM Navarro, JM García, JM Cebrián, ...
Computers & Electrical Engineering 46, 190-201, 2015
Toward energy efficiency in heterogeneous processors: findings on virtual screening methods
GD Guerrero, JM Cebrián, H Pérez‐Sánchez, JM García, M Ujaldón, ...
Concurrency and Computation: Practice and Experience 26 (10), 1832-1846, 2014
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