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ORCIDJuan M. Cebrian
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Journal Articles
- 2023
[j21]Mostafa Koraei, Juan M. Cebrian
, Magnus Jahre:
Near-optimal multi-accelerator architectures for predictive maintenance at the edge. Future Gener. Comput. Syst. 140: 331-343 (2023)- 2022
- [j20]Juan M. Cebrian, Thibaud Balem, Adrián Barredo, Marc Casas, Miquel Moretó, Alberto Ros, Alexandra Jimborean:
Compiler-Assisted Compaction/Restoration of SIMD Instructions. IEEE Trans. Parallel Distributed Syst. 33(4): 779-791 (2022) - 2020
- [j19]Juan M. Cebrian, Baldomero Imbernón, Jesús A. Soto, José M. García, José M. Cecilia:
High-throughput fuzzy clustering on heterogeneous architectures. Future Gener. Comput. Syst. 106: 401-411 (2020) - [j18]Juan M. Cebrian, Adrián Barredo, Helena Caminal, Miquel Moretó, Marc Casas, Mateo Valero:
Semi-automatic validation of cycle-accurate simulation infrastructures: The case for gem5-x86. Future Gener. Comput. Syst. 112: 832-847 (2020) - [j17]Mario Hernández, Juan M. Cebrian, José M. Cecilia, José M. García:
Offloading strategies for Stencil kernels on the KNC Xeon Phi architecture: Accuracy versus performance. Int. J. High Perform. Comput. Appl. 34(2) (2020) - [j16]Adrián Barredo, Juan M. Cebrian, Mateo Valero, Marc Casas, Miquel Moretó:
Efficiency analysis of modern vector architectures: vector ALU sizes, core counts and clock frequencies. J. Supercomput. 76(3): 1960-1979 (2020) - [j15]Adrià Armejach, Helena Caminal, Juan M. Cebrian, Rubén Langarita, Rekai González-Alberquilla, Chris Adeniyi-Jones, Mateo Valero, Marc Casas, Miquel Moretó:
Using Arm's scalable vector extension on stencil codes. J. Supercomput. 76(3): 2039-2062 (2020) - [j14]Juan M. Cebrian, Lasse Natvig, Magnus Jahre:
Scalability analysis of AVX-512 extensions. J. Supercomput. 76(3): 2082-2097 (2020) - 2018
- [j13]Helena Caminal, Diego Caballero, Juan M. Cebrian, Roger Ferrer, Marc Casas, Miquel Moretó, Xavier Martorell, Mateo Valero:
Performance and energy effects on task-based parallelized applications - User-directed versus manual vectorization. J. Supercomput. 74(6): 2627-2637 (2018) - [j12]Abdullah Al Hasib, Juan M. Cebrian, Lasse Natvig:
A vectorized k-means algorithm for compressed datasets: design and experimental analysis. J. Supercomput. 74(6): 2705-2728 (2018) - 2017
- [j11]Juan M. Cebrian, José M. Cecilia, Mario Hernández, José M. García:
Code modernization strategies to 3-D Stencil-based applications on Intel Xeon Phi: KNC and KNL. Comput. Math. Appl. 74(10): 2557-2571 (2017) - [j10]Juan M. Cebrian, Ricardo Fernández Pascual, Alexandra Jimborean, Manuel E. Acacio, Alberto Ros:
A dedicated private-shared cache design for scalable multiprocessors. Concurr. Comput. Pract. Exp. 29(2) (2017) - 2015
- [j9]Mario Hernández, Baldomero Imbernón, Juan M. Navarro, José M. García, Juan M. Cebrian, José M. Cecilia:
Evaluation of the 3-D finite difference implementation of the acoustic diffusion equation model on massively parallel architectures. Comput. Electr. Eng. 46: 190-201 (2015) - [j8]Juan M. Cebrian, Magnus Jahre, Lasse Natvig:
ParVec: vectorizing the PARSEC benchmark suite. Computing 97(11): 1077-1100 (2015) - [j7]Daniel Sánchez, Juan M. Cebrian, José M. García, Juan L. Aragón:
Soft-error mitigation by means of decoupled transactional memory threads. Distributed Comput. 28(2): 75-90 (2015) - 2014
- [j6]Juan M. Cebrian, Lasse Natvig, Jan Christian Meyer:
Performance and energy impact of parallelization and vectorization techniques in modern microprocessors. Computing 96(12): 1179-1193 (2014) - [j5]Ginés D. Guerrero, Juan M. Cebrian, Horacio Emilio Pérez Sánchez, José M. García, Manuel Ujaldon, José M. Cecilia:
Toward energy efficiency in heterogeneous processors: findings on virtual screening methods. Concurr. Comput. Pract. Exp. 26(10): 1832-1846 (2014) - [j4]Juan M. Cebrian, Daniel Sánchez, Juan L. Aragón, Stefanos Kaxiras:
Managing power constraints in a single-core scenario through power tokens. J. Supercomput. 68(1): 414-442 (2014) - 2013
- [j3]Juan M. Cebrian, Daniel Sánchez, Juan L. Aragón, Stefanos Kaxiras:
Efficient inter-core power and thermal balancing for multicore processors. Computing 95(7): 537-566 (2013) - [j2]Daniel Sánchez, Yiannakis Sazeides, Juan M. Cebrian, José M. García, Juan L. Aragón:
Modeling the impact of permanent faults in caches. ACM Trans. Archit. Code Optim. 10(4): 29:1-29:23 (2013) - 2011
- [j1]Juan M. Cebrian, Juan L. Aragón, José M. García, Stefanos Kaxiras:
Leakage-efficient design of value predictors through state and non-state preserving techniques. J. Supercomput. 55(1): 28-50 (2011)
Conference and Workshop Papers
- 2022
- [c22]Eduardo José Gómez-Hernández, Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros:
Splash-4: A Modern Benchmark Suite with Lock-Free Constructs. IISWC 2022: 51-64 - [c21]Ashkan Asgharzadeh, Juan M. Cebrian, Arthur Perais, Stefanos Kaxiras, Alberto Ros:
Free atomics: hardware atomic operations without fences. ISCA 2022: 14-26 - 2021
- [c20]Eduardo José Gómez-Hernández, Juan M. Cebrian, J. Rubén Titos Gil, Stefanos Kaxiras, Alberto Ros:
Efficient, Distributed, and Non-Speculative Multi-Address Atomic Operations. MICRO 2021: 337-349 - 2020
- [c19]Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero:
Improving Predication Efficiency through Compaction/Restoration of SIMD Instructions. HPCA 2020: 717-728 - [c18]Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros:
Boosting Store Buffer Efficiency with Store-Prefetch Bursts. MICRO 2020: 568-580 - 2019
- [c17]Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero:
POSTER: An Optimized Predication Execution for SIMD Extensions. PACT 2019: 479-480 - 2018
- [c16]Adrià Armejach, Helena Caminal, Juan M. Cebrian, Rekai González-Alberquilla, Chris Adeniyi-Jones, Mateo Valero, Marc Casas, Miquel Moretó:
Stencil codes on a vector length agnostic architecture. PACT 2018: 13:1-13:12 - 2016
- [c15]Kameswar Rao Vaddina, Juan M. Cebrian, Lasse Natvig:
Transient Temperature Prediction for Aging Thermal Sensors Using Artificial Neural Network. PDP 2016: 51-57 - 2015
- [c14]Juan M. Cebrian, Alberto Ros, Ricardo Fernández Pascual, Manuel E. Acacio:
Early Experiences with Separate Caches for Private and Shared Data. e-Science 2015: 572-579 - [c13]Abdullah Al Hasib, Juan M. Cebrian, Lasse Natvig:
V-PFORDelta: Data Compression for Energy Efficient Computation of Time Series. HiPC 2015: 416-425 - [c12]Mario Hernández, Juan M. Cebrian, José M. Cecilia, José M. García:
Evaluation of 3-D Stencil Codes on the Intel Xeon Phi Coprocessor. PARCO 2015: 197-206 - 2014
- [c11]Juan M. Cebrian, Magnus Jahre, Lasse Natvig:
Optimized hardware for suboptimal software: The case for SIMD-aware benchmarks. ISPASS 2014: 66-75 - 2013
- [c10]Juan M. Cebrian, Lasse Natvig:
Temperature effects on on-chip energy measurements. IGCC 2013: 1-6 - [c9]Jan Christian Meyer, Juan M. Cebrian, Lasse Natvig, Vasileios Karakasis, Dimitris Siakavaras, Konstantinos Nikas:
Energy-Efficient Sparse Matrix Autotuning with CSX - A Trade-off Study. IPDPS Workshops 2013: 931-937 - 2012
- [c8]Juan M. Cebrian, Ginés D. Guerrero, José M. García:
Energy Efficiency Analysis of GPUs. IPDPS Workshops 2012: 1014-1022 - [c7]Juan M. Cebrian, Lasse Natvig, Jan Christian Meyer:
Improving Energy Efficiency through Parallelization and Vectorization on Intel Core i5 and i7 Processors. SC Companion 2012: 675-684 - 2011
- [c6]Juan M. Cebrian, Juan L. Aragón, Stefanos Kaxiras:
Token3D: Reducing Temperature in 3D Die-Stacked CMPs through Cycle-Level Power Control Mechanisms. Euro-Par (1) 2011: 295-309 - [c5]Juan M. Cebrian, Juan L. Aragón, Stefanos Kaxiras:
Power Token Balancing: Adapting CMPs to Power Constraints for Parallel Multithreaded Workloads. IPDPS 2011: 431-442 - 2010
- [c4]Pavlos Petoumenos, Georgia Psychou, Stefanos Kaxiras, Juan Manuel Cebrian Gonzalez, Juan L. Aragón:
MLP-Aware Instruction Queue Resizing: The Key to Power-Efficient Performance. ARCS 2010: 113-125 - 2009
- [c3]Juan M. Cebrian, Juan L. Aragón, José M. García, Pavlos Petoumenos, Stefanos Kaxiras:
Efficient microarchitecture policies for accurately adapting to power constraints. IPDPS 2009: 1-12 - 2007
- [c2]Juan M. Cebrian, Juan L. Aragón, José M. García, Stefanos Kaxiras:
Adaptive VP decay: making value predictors leakage-efficient designs for high performance processors. Conf. Computing Frontiers 2007: 113-122 - [c1]Juan M. Cebrian, Juan L. Aragón, José M. García:
Leakage Energy Reduction in Value Predictors through Static Decay. IPDPS 2007: 1-7
Coauthor Index
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