Manuel F. Dolz
Orcid: 0000-0001-9466-3398Affiliations:
- Charles III University of Madrid
According to our database1,
Manuel F. Dolz
authored at least 79 papers
between 2010 and 2023.
Collaborative distances:
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on orcid.org
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Bibliography
2023
J. Supercomput., July, 2023
Performance-energy trade-offs of deep learning convolution algorithms on ARM processors.
J. Supercomput., June, 2023
Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks.
Computing, May, 2023
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs.
Computing, May, 2023
Reformulating the direct convolution for high-performance deep learning inference on ARM processors.
J. Syst. Archit., February, 2023
GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge.
CoRR, 2023
2022
BestOf: an online implementation selector for the training and inference of deep neural networks.
J. Supercomput., 2022
High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS.
J. Syst. Archit., 2022
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors.
J. Parallel Distributed Comput., 2022
Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022
Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP.
Proceedings of the 30th Euromicro International Conference on Parallel, 2022
2021
J. Supercomput., 2021
Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product.
Int. J. High Perform. Comput. Appl., 2021
CoRR, 2021
Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks.
Proceedings of the 29th Euromicro International Conference on Parallel, 2021
Proceedings of the 29th Euromicro International Conference on Parallel, 2021
A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
2020
J. Supercomput., 2020
Performance modeling of the sparse matrix-vector product via convolutional neural networks.
J. Supercomput., 2020
High Performance and Portable Convolution Operators for ARM-based Multicore Processors.
CoRR, 2020
Comput. Math. Methods, 2020
Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020
2019
J. Supercomput., 2019
Hybrid static-dynamic selection of implementation alternatives in heterogeneous environments.
J. Supercomput., 2019
Parallel Comput., 2019
Proceedings of the 26th European MPI Users' Group Meeting, 2019
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019
2018
Sustain. Comput. Informatics Syst., 2018
Energy monitoring as an essential building block towards sustainable ultrascale systems.
Sustain. Comput. Informatics Syst., 2018
Int. J. High Perform. Comput. Appl., 2018
Int. J. High Perform. Comput. Appl., 2018
Paving the way towards high-level parallel pattern interfaces for data stream processing.
Future Gener. Comput. Syst., 2018
IEEE Access, 2018
Proceedings of the 25th European MPI Users' Group Meeting, 2018
Proceedings of the 26th Euromicro International Conference on Parallel, 2018
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018
2017
Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers.
J. Supercomput., 2017
Enabling semantics to improve detection of data races and misuses of lock-free data structures.
Concurr. Comput. Pract. Exp., 2017
Concurr. Comput. Pract. Exp., 2017
A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns.
Proceedings of the Parallel Computing Technologies, 2017
Probabilistic-Based Selection of Alternate Implementations for Heterogeneous Platforms.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017
2016
An analytical methodology to derive power models based on hardware and software metrics.
Comput. Sci. Res. Dev., 2016
CID: A Compile-Time Implementation Decider for Heterogeneous Platforms Based on C++ Attributes.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016
Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool.
Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, 2016
Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, 2016
Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
2015
Comput. Sci. Res. Dev., 2015
Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi.
Comput. Electr. Eng., 2015
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015
2014
Sustain. Comput. Informatics Syst., 2014
Sci. Program., 2014
J. Parallel Distributed Comput., 2014
Comput. Sci. Res. Dev., 2014
Modeling power and energy of the task-parallel Cholesky factorization on multicore processors.
Comput. Sci. Res. Dev., 2014
Modeling power and energy consumption of dense matrix factorizations on multicore processors.
Concurr. Comput. Pract. Exp., 2014
Enhancing performance and energy consumption of runtime schedulers for dense linear algebra.
Concurr. Comput. Pract. Exp., 2014
Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems.
Clust. Comput., 2014
Proceedings of the 9th Parallel Data Storage Workshop, 2014
2013
Energy-efficient execution of dense linear algebra algorithms on multi-core processors.
Clust. Comput., 2013
Proceedings of the Energy Efficiency in Large Scale Distributed Systems, 2013
Proceedings of the Energy Efficiency in Large Scale Distributed Systems, 2013
2012
ACM SIGOPS Oper. Syst. Rev., 2012
DVFS-control techniques for dense linear algebra operations on multi-core processors.
Comput. Sci. Res. Dev., 2012
Saving Energy in the LU Factorization with Partial Pivoting on Multi-core Processors.
Proceedings of the 20th Euromicro International Conference on Parallel, 2012
Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012
Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms.
Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012
Proceedings of the ICT as Key Technology against Global Warming, 2012
Proceedings of the 41st International Conference on Parallel Processing, 2012
2011
Power-aware Dense Linear Algebra Implementations on Multi-core and Many-core Processors.
Proceedings of the 3rd Many-core Applications Research Community (MARC) Symposium. Proceedings of the 3rd MARC Symposium, 2011
Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-core and Many-Core Processors.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
Improving power efficiency of dense linear algebra algorithms on multi-core processors via slack control.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011
2010
Proceedings of the Architecture of Computing Systems, 2010