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Publication search results
found 16 matches
- 2021
- Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr, Martin Jaggi:
Understanding the effects of data parallelism and sparsity on neural network training. ICLR 2021 - 2020
- Lhoussein Mabrouk:
Contribution à l'implémentation des algorithmes de vision avec parallélisme massif de données sur les architectures hétérogènes CPU/GPU. (Contribution to the implementation of vision algorithms with massive parallelism of data on heterogeneous CPU/GPU architectures). Grenoble Alpes University, France, 2020 - Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Studying the Effects of Hashing of Sparse Deep Neural Networks on Data and Model Parallelisms. HPEC 2020: 1-7 - Felipe Rodrigo de Souza, Marcos Dias de Assunção, Eddy Caron, Alexandre da Silva Veith
:
An Optimal Model for Optimizing the Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Computing. SBAC-PAD 2020: 59-66 - 2019
- Christopher J. Shallue, Jaehoon Lee, Joseph M. Antognini, Jascha Sohl-Dickstein, Roy Frostig, George E. Dahl:
Measuring the Effects of Data Parallelism on Neural Network Training. J. Mach. Learn. Res. 20: 112:1-112:49 (2019) - Pavlos Ponos, Stefanos Ougiaroglou, Georgios Evangelidis:
The Effect of Parallelism on Data Reduction. BCI 2019: 33:1-33:4 - 2018
- Christopher J. Shallue, Jaehoon Lee, Joseph M. Antognini, Jascha Sohl-Dickstein, Roy Frostig, George E. Dahl:
Measuring the Effects of Data Parallelism on Neural Network Training. CoRR abs/1811.03600 (2018) - 2015
- Manuel F. Dolz
, Francisco D. Igual
, Thomas Ludwig, Luis Piñuel, Enrique S. Quintana-Ortí
:
Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi. Comput. Electr. Eng. 46: 95-111 (2015) - 2013
- Lars Schor, Andreas Tretter, Tobias Scherer, Lothar Thiele:
Exploiting the parallelism of heterogeneous systems using dataflow graphs on top of OpenCL. ESTIMedia 2013: 41-50 - Peter Benner, Pablo Ezzatti
, Enrique S. Quintana-Ortí
, Alfredo Remón:
Exploiting Data- and Task-Parallelism in the Solution of Riccati Equations on Multicore Servers and GPUs. PARCO 2013: 367-374 - 2004
- Olivier Beaumont
, Arnaud Legrand, Loris Marchal, Yves Robert
:
Assessing the Impact and Limits of Steady-State Scheduling for Mixed Task and Data Parallelism on Heterogeneous Platforms. ISPDC/HeteroPar 2004: 296-302 - 2003
- Lieven Eeckhout, Hans Vandierendonck, Koenraad De Bosschere:
Quantifying the Impact of Input Data Sets on Program Behavior and its Applications. J. Instr. Level Parallelism 5 (2003) - 1994
- Constantinos V. Papadopoulos:
On the Parallelism of Data. PARLE 1994: 414-424 - Susumu Nishimura, Atsushi Ohori:
A Calculus for Exploiting Data Parallelism on Recursively Defined Data. Theory and Practice of Parallel Programming 1994: 413-432 - 1991
- Alexander G. Hirschbiel:
Novel processor architecture based on auto data sequencing and low level parallelism. Kaiserslautern University of Technology, Germany, 1991, pp. 1-228 - John M. Mellor-Crummey
:
On-the-fly detection of data races for programs with nested fork-join parallelism. SC 1991: 24-33
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