| Argobots: A lightweight low-level threading and tasking framework S Seo, A Amer, P Balaji, C Bordage, G Bosilca, A Brooks, P Carns, ... IEEE Transactions on Parallel and Distributed Systems 29 (3), 512-526, 2017 | 163 | 2017 |
| SLURM support for remote GPU virtualization: Implementation and performance study S Iserte, A Castelló, R Mayo, ES Quintana-Ortí, F Silla, J Duato, C Reano, ... 2014 IEEE 26th International Symposium on Computer Architecture and High …, 2014 | 34 | 2014 |
| High Performance and Portable Convolution Operators for Multicore Processors P San Juan, A Castelló, MF Dolz, P Alonso-Jordá, ES Quintana-Ortí SBAC-PAD 2020, 2020 | 28* | 2020 |
| Improving the User Experience of the rCUDA Remote GPU Virtualization Framework C Reano, F Silla, A Castelló, AJ Pena, R Mayo, ES Quintana-Ortí, J Duato | 24 | 2014 |
| PyDTNN: a user-friendly and extensible framework for distributed deep learning S Barrachina, A Castelló, M Catalán, MF Dolz, JI Mestre The Journal of Supercomputing 77, 9971-9987, 2021 | 21 | 2021 |
| Reformulating the direct convolution for high-performance deep learning inference on ARM processors S Barrachina, A Castelló, MF Dolz, TM Low, H Martínez, ES Quintana-Ortí, ... Journal of Systems Architecture 135, 102806, 2023 | 20 | 2023 |
| Analysis of model parallelism for distributed neural networks A Castelló, MF Dolz, ES Quintana-Ortí, J Duato Proceedings of the 26th European MPI Users' Group Meeting, 1-10, 2019 | 20 | 2019 |
| A Review of Lightweight Thread Approaches for High Performance Computing A Castelló, AJ Peña, S Seo, R Mayo, P Balaji, ES Quintana-Ortí 2016 IEEE International Conference on Cluster Computing (CLUSTER 2016), 471-480, 2016 | 19 | 2016 |
| Micro-kernels for portable and efficient matrix multiplication in deep learning G Alaejos, A Castelló, H Martínez, P Alonso-Jordá, FD Igual, ... The Journal of Supercomputing 79 (7), 8124-8147, 2023 | 17 | 2023 |
| Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks A Castelló, MF Dolz, ES Quintana-Ortí, J Duato 2nd High Performance Machine Learning Workshop (HPML 2019), 534-541, 2019 | 15 | 2019 |
| On the use of remote GPUs and low-power processors for the acceleration of scientific applications A Castelló, J Duato, R Mayo, AJ Pena, ES Quintana-Ortí, V Roca, F Silla The Fourth International Conference on Smart Grids, Green Communications and …, 2014 | 15 | 2014 |
| Anatomy of the BLIS family of algorithms for matrix multiplication A Castelló, ES Quintana-Ortí, FD Igual 2022 30th Euromicro International Conference on Parallel, Distributed and …, 2022 | 13 | 2022 |
| GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations A Castelló, S Seo, R Mayo, P Balaji, ES Quintana-Ortí, AJ Peña International Conference on Parallel Processing (ICPP-2017), 60-69, 2017 | 13 | 2017 |
| Enabling GPU Virtualization in Cloud Environments S Iserte, FJ Clemente-Castelló, A Castelló, R Mayo, ES Quintana-Ortí CLOSER 2016, 2016 | 13 | 2016 |
| A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor C Ramírez, A Castelló, ES Quintana-Orti The Journal of Supercomputing 78 (16), 18051-18060, 2022 | 11 | 2022 |
| Accelerating distributed deep neural network training with pipelined MPI allreduce A Castelló, ES Quintana-Ortí, J Duato Cluster Computing 24 (4), 3797-3813, 2021 | 11 | 2021 |
| High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS A Castelló, S Barrachina, MF Dolz, ES Quintana-Ortí, P San Juan, ... Journal of Systems Architecture 125, 102459, 2022 | 10 | 2022 |
| A flexible research-oriented framework for distributed training of deep neural networks S Barrachina, A Castelló, M Catalán, MF Dolz, JI Mestre 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 10 | 2021 |
| GLT: A unified API for lightweight thread libraries A Castelló, S Seo, R Mayo, P Balaji, ES Quintana-Ortí, AJ Peña Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017 | 8 | 2017 |
| Performance–energy trade-offs of deep learning convolution algorithms on ARM processors MF Dolz, S Barrachina, H Martínez, A Castelló, A Maciá, G Fabregat, ... The Journal of Supercomputing 79 (9), 9819-9836, 2023 | 7 | 2023 |
Enrique S. Quintana-OrtíUniversitat Politècnica de València, SpainVerified email at disca.upv.es
