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Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs.

C. Jiang, D. Ojika, T. Kurth, Prabhat, S. Vallecorsa, B. Patel, and H. Lam. ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 587-600. Springer, (2019)

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Maria Sofianopoulou

Denise Michela Sofia

Maria Sofianopoulou

Markus Sofianos

Djohan Sofia

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Correction to: A report on teaching a series of online lectures on quantum computing from CERN.E. Combarro, S. Vallecorsa, L. Rodríguez-Muñiz, Á. Aguilar-González, J. Ranilla, and A. Meglio. J. Supercomput., 77 (12): 14436-14437 (2021)Accelerating GAN training using highly parallel hardware on public cloud.R. Cardoso, D. Golubovic, I. Lozada, R. Rocha, J. Fernandes, and S. Vallecorsa. CoRR, (2021)Conditional Born machine for Monte Carlo events generation.O. Kiss, M. Grossi, E. Kajomovitz, and S. Vallecorsa. CoRR, (2022)Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints.G. Khattak, S. Vallecorsa, F. Carminati, and G. Khan. ICMLA, page 28-33. IEEE, (2019)Quantum Convolutional Circuits for Earth Observation Image Classification.S. Chang, B. Saux, S. Vallecorsa, and M. Grossi. IGARSS, page 4907-4910. IEEE, (2022)Three Dimensional Energy Parametrized Generative Adversarial Networks for Electromagnetic Shower Simulation.G. Rukhkhattak, S. Vallecorsa, and F. Carminati. ICIP, page 3913-3917. IEEE, (2018)Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers.D. Brayford, and S. Vallecorsa. CoRR, (2020)Symmetry breaking in geometric quantum machine learning in the presence of noise.C. Tüysüz, S. Chang, M. Demidik, K. Jansen, S. Vallecorsa, and M. Grossi. CoRR, (2024)Higgs analysis with quantum classifiers.V. Belis, S. González-Castillo, C. Reissel, S. Vallecorsa, E. Combarro, G. Dissertori, and F. Reiter. CoRR, (2021)Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors.J. Ríos, A. Armejach, G. Khattak, E. Petit, S. Vallecorsa, and M. Casas. ICMLA, page 49-56. IEEE, (2020)

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Disambiguation of "Vallecorsa, Sofia"

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Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs.

Please choose a person to relate this publication to

Maria Sofianopoulou

Denise Michela Sofia

Maria Sofianopoulou

Markus Sofianos

Djohan Sofia

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Vallecorsa, Sofia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs.

Please choose a person to relate this publication to

Maria Sofianopoulou

Denise Michela Sofia

Maria Sofianopoulou

Markus Sofianos

Djohan Sofia

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs.