Juan M. Cebrian

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 20

Top Topics

Energy Efficiency

Compressed Data

Top Venues

J. Supercomput.

Future Gener. Comput. Syst.

Concurr. Comput. Pract. Exp.

Publications

Mostafa Koraei, Juan M. Cebrian, Magnus Jahre
Near-optimal multi-accelerator architectures for predictive maintenance at the edge. Future Gener. Comput. Syst. 140 (2023)
Ashkan Asgharzadeh, Juan M. Cebrian, Arthur Perais, Stefanos Kaxiras, Alberto Ros
Free atomics: hardware atomic operations without fences. ISCA (2022)
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) (2022)
Eduardo José Gómez-Hernández, Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros
Splash-4: A Modern Benchmark Suite with Lock-Free Constructs. IISWC (2022)
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)
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) (2020)
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)
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 (2020)
Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero
Improving Predication Efficiency through Compaction/Restoration of SIMD Instructions. HPCA (2020)
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 (2020)
Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros
Boosting Store Buffer Efficiency with Store-Prefetch Bursts. MICRO (2020)
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) (2020)
Juan M. Cebrian, Lasse Natvig, Magnus Jahre
Scalability analysis of AVX-512 extensions. J. Supercomput. 76 (3) (2020)
Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero
POSTER: An Optimized Predication Execution for SIMD Extensions. PACT (2019)
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)
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) (2018)
Abdullah Al Hasib, Juan M. Cebrian, Lasse Natvig
A vectorized k-means algorithm for compressed datasets: design and experimental analysis. J. Supercomput. 74 (6) (2018)
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) (2017)
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)
Kameswar Rao Vaddina, Juan M. Cebrian, Lasse Natvig
Transient Temperature Prediction for Aging Thermal Sensors Using Artificial Neural Network. PDP (2016)
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 (2015)
Juan M. Cebrian, Magnus Jahre, Lasse Natvig
ParVec: vectorizing the PARSEC benchmark suite. Computing 97 (11) (2015)
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) (2015)
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)
Abdullah Al Hasib, Juan M. Cebrian, Lasse Natvig
V-PFORDelta: Data Compression for Energy Efficient Computation of Time Series. HiPC (2015)
Juan M. Cebrian, Alberto Ros, Ricardo Fernández Pascual, Manuel E. Acacio
Early Experiences with Separate Caches for Private and Shared Data. e-Science (2015)
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) (2014)
Juan M. Cebrian, Magnus Jahre, Lasse Natvig
Optimized hardware for suboptimal software: The case for SIMD-aware benchmarks. ISPASS (2014)
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) (2014)
Juan M. Cebrian, Lasse Natvig, Jan Christian Meyer
Performance and energy impact of parallelization and vectorization techniques in modern microprocessors. Computing 96 (12) (2014)
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)
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) (2013)
Juan M. Cebrian, Lasse Natvig
Temperature effects on on-chip energy measurements. IGCC (2013)
Juan M. Cebrian, Daniel Sánchez, Juan L. Aragón, Stefanos Kaxiras
Efficient inter-core power and thermal balancing for multicore processors. Computing 95 (7) (2013)
Juan M. Cebrian, Ginés D. Guerrero, José M. García
Energy Efficiency Analysis of GPUs. IPDPS Workshops (2012)
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)
Juan M. Cebrian, Juan L. Aragón, Stefanos Kaxiras
Power Token Balancing: Adapting CMPs to Power Constraints for Parallel Multithreaded Workloads. IPDPS (2011)
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) (2011)
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)
Juan M. Cebrian, Juan L. Aragón, José M. García, Pavlos Petoumenos, Stefanos Kaxiras
Efficient microarchitecture policies for accurately adapting to power constraints. IPDPS (2009)
Juan M. Cebrian, Juan L. Aragón, José M. García
Leakage Energy Reduction in Value Predictors through Static Decay. IPDPS (2007)
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)