Juan M. Cebrian

According to our database, Juan M. Cebrian authored at least 44 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Temporarily Unauthorized Stores: Write First, Ask for Permission Later.

Juan M. Cebrian, Magnus Jahre, Alberto Ros

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

2023

Near-optimal multi-accelerator architectures for predictive maintenance at the edge.

Mostafa Koraei, Juan M. Cebrian, Magnus Jahre

Future Gener. Comput. Syst., 2023

2022

Compiler-Assisted Compaction/Restoration of SIMD Instructions.

Juan M. Cebrian, Thibaud Balem, Adrián Barredo, Marc Casas, Miquel Moretó, Alberto Ros, Alexandra Jimborean

IEEE Trans. Parallel Distributed Syst., 2022

Free atomics: hardware atomic operations without fences.

Ashkan Asgharzadeh, Juan M. Cebrian, Arthur Perais, Stefanos Kaxiras, Alberto Ros

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Splash-4: A Modern Benchmark Suite with Lock-Free Constructs.

Eduardo José Gómez-Hernández, Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

2021

Efficient, Distributed, and Non-Speculative Multi-Address Atomic Operations.

Eduardo José Gómez-Hernández, Juan M. Cebrian, J. Rubén Titos Gil, Stefanos Kaxiras, Alberto Ros

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020

Scalability analysis of AVX-512 extensions.

Juan M. Cebrian, Lasse Natvig, Magnus Jahre

J. Supercomput., 2020

Efficiency analysis of modern vector architectures: vector ALU sizes, core counts and clock frequencies.

Adrián Barredo, Juan M. Cebrian, Mateo Valero, Marc Casas, Miquel Moretó

J. Supercomput., 2020

Using Arm's scalable vector extension on stencil codes.

Adrià Armejach, Helena Caminal, Juan M. Cebrian, Rubén Langarita, Rekai González-Alberquilla, Chris Adeniyi-Jones, Mateo Valero, Marc Casas, Miquel Moretó

J. Supercomput., 2020

Offloading strategies for Stencil kernels on the KNC Xeon Phi architecture: Accuracy versus performance.

Mario Hernández, Juan M. Cebrian, José M. Cecilia, José M. García

Int. J. High Perform. Comput. Appl., 2020

High-throughput fuzzy clustering on heterogeneous architectures.

Juan M. Cebrian, Baldomero Imbernón, Jesús A. Soto, José M. García, José M. Cecilia

Future Gener. Comput. Syst., 2020

Semi-automatic validation of cycle-accurate simulation infrastructures: The case for gem5-x86.

Juan M. Cebrian, Adrián Barredo, Helena Caminal, Miquel Moretó, Marc Casas, Mateo Valero

Future Gener. Comput. Syst., 2020

Boosting Store Buffer Efficiency with Store-Prefetch Bursts.

Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Improving Predication Efficiency through Compaction/Restoration of SIMD Instructions.

Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2019

POSTER: An Optimized Predication Execution for SIMD Extensions.

Adrián Barredo, Juan M. Cebrian, Miquel Moretó, Marc Casas, Mateo Valero

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

A vectorized k-means algorithm for compressed datasets: design and experimental analysis.

Abdullah Al Hasib, Juan M. Cebrian, Lasse Natvig

J. Supercomput., 2018

Performance and energy effects on task-based parallelized applications - User-directed versus manual vectorization.

Helena Caminal, Diego Caballero, Juan M. Cebrian, Roger Ferrer, Marc Casas, Miquel Moretó, Xavier Martorell, Mateo Valero

J. Supercomput., 2018

Stencil codes on a vector length agnostic architecture.

Adrià Armejach, Helena Caminal, Juan M. Cebrian, Rekai González-Alberquilla, Chris Adeniyi-Jones, Mateo Valero, Marc Casas, Miquel Moretó

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017

A dedicated private-shared cache design for scalable multiprocessors.

Juan M. Cebrian, Ricardo Fernández Pascual, Alexandra Jimborean, Manuel E. Acacio, Alberto Ros

Concurr. Comput. Pract. Exp., 2017

Code modernization strategies to 3-D Stencil-based applications on Intel Xeon Phi: KNC and KNL.

Juan M. Cebrian, José M. Cecilia, Mario Hernández, José M. García

Comput. Math. Appl., 2017

2016

Transient Temperature Prediction for Aging Thermal Sensors Using Artificial Neural Network.

Kameswar Rao Vaddina, Juan M. Cebrian, Lasse Natvig

Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2015

Soft-error mitigation by means of decoupled transactional memory threads.

Daniel Sánchez, Juan M. Cebrian, José M. García, Juan L. Aragón

Distributed Comput., 2015

ParVec: vectorizing the PARSEC benchmark suite.

Juan M. Cebrian, Magnus Jahre, Lasse Natvig

Computing, 2015

Evaluation of the 3-D finite difference implementation of the acoustic diffusion equation model on massively parallel architectures.

Mario Hernández, Baldomero Imbernón, Juan M. Navarro, José M. García, Juan M. Cebrian, José M. Cecilia

Comput. Electr. Eng., 2015

Evaluation of 3-D Stencil Codes on the Intel Xeon Phi Coprocessor.

Mario Hernández, Juan M. Cebrian, José M. Cecilia, José M. García

Proceedings of the Parallel Computing: On the Road to Exascale, 2015

V-PFORDelta: Data Compression for Energy Efficient Computation of Time Series.

Abdullah Al Hasib, Juan M. Cebrian, Lasse Natvig

Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

Early Experiences with Separate Caches for Private and Shared Data.

Juan M. Cebrian, Alberto Ros, Ricardo Fernández Pascual, Manuel E. Acacio

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014

Managing power constraints in a single-core scenario through power tokens.

Juan M. Cebrian, Daniel Sánchez, Juan L. Aragón, Stefanos Kaxiras

J. Supercomput., 2014

Toward energy efficiency in heterogeneous processors: findings on virtual screening methods.

Ginés D. Guerrero, Juan M. Cebrian, Horacio Emilio Pérez Sánchez, José M. García, Manuel Ujaldon, José M. Cecilia

Concurr. Comput. Pract. Exp., 2014

Performance and energy impact of parallelization and vectorization techniques in modern microprocessors.

Juan M. Cebrian, Lasse Natvig, Jan Christian Meyer

Computing, 2014

Optimized hardware for suboptimal software: The case for SIMD-aware benchmarks.

Juan M. Cebrian, Magnus Jahre, Lasse Natvig

Proceedings of the 2014 IEEE International Symposium on Performance Analysis of Systems and Software, 2014

2013

Modeling the impact of permanent faults in caches.

Daniel Sánchez, Yiannakis Sazeides, Juan M. Cebrian, José M. García, Juan L. Aragón

ACM Trans. Archit. Code Optim., 2013

Efficient inter-core power and thermal balancing for multicore processors.

Juan M. Cebrian, Daniel Sánchez, Juan L. Aragón, Stefanos Kaxiras

Computing, 2013

Energy-Efficient Sparse Matrix Autotuning with CSX - A Trade-off Study.

Jan Christian Meyer, Juan M. Cebrian, Lasse Natvig, Vasileios Karakasis, Dimitris Siakavaras, Konstantinos Nikas

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Temperature effects on on-chip energy measurements.

Juan M. Cebrian, Lasse Natvig

Proceedings of the International Green Computing Conference, 2013

2012

Improving Energy Efficiency through Parallelization and Vectorization on Intel Core i5 and i7 Processors.

Juan M. Cebrian, Lasse Natvig, Jan Christian Meyer

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Energy Efficiency Analysis of GPUs.

Juan M. Cebrian, Ginés D. Guerrero, José M. García

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011

Leakage-efficient design of value predictors through state and non-state preserving techniques.

Juan M. Cebrian, Juan L. Aragón, José M. García, Stefanos Kaxiras

J. Supercomput., 2011

Power Token Balancing: Adapting CMPs to Power Constraints for Parallel Multithreaded Workloads.

Juan M. Cebrian, Juan L. Aragón, Stefanos Kaxiras

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Token3D: Reducing Temperature in 3D Die-Stacked CMPs through Cycle-Level Power Control Mechanisms.

Juan M. Cebrian, Juan L. Aragón, Stefanos Kaxiras

Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2010

MLP-Aware Instruction Queue Resizing: The Key to Power-Efficient Performance.

Pavlos Petoumenos, Georgia Psychou, Stefanos Kaxiras, Juan Manuel Cebrian Gonzalez, Juan L. Aragón

Proceedings of the Architecture of Computing Systems, 2010

2009

Efficient microarchitecture policies for accurately adapting to power constraints.

Juan M. Cebrian, Juan L. Aragón, José M. García, Pavlos Petoumenos, Stefanos Kaxiras

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2007

Leakage Energy Reduction in Value Predictors through Static Decay.

Juan M. Cebrian, Juan L. Aragón, José M. García

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Adaptive VP decay: making value predictors leakage-efficient designs for high performance processors.

Juan M. Cebrian, Juan L. Aragón, José M. García, Stefanos Kaxiras

Proceedings of the 4th Conference on Computing Frontiers, 2007