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ORCIDAxel Acosta 0001
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- affiliation: Robert Bosch Corporate Research Renningen, Germany
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Journal Articles
- 2022
[j1]Dennis Rieber, Axel Acosta, Holger Fröning:
Joint Program and Layout Transformations to Enable Convolutional Operators on Specialized Hardware Based on Constraint Programming. ACM Trans. Archit. Code Optim. 19(1): 7:1-7:26 (2022)
Conference and Workshop Papers
- 2023
- [c2]Loveneet Saini, Axel Acosta, Gor Hakobyan:
Graph Neural Networks for Object Type Classification Based on Automotive Radar Point Clouds and Spectra. ICASSP 2023: 1-5 - 2019
- [c1]Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro
, Ingo Feldner:
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. INTESA 2019: 18-22
Informal and Other Publications
- 2021
- [i3]Michael J. Klaiber, Axel J. Acosta, Ingo Feldner, Falk Rehm:
Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers. CoRR abs/2104.03780 (2021) - [i2]Dennis Rieber, Axel Acosta, Holger Fröning:
The Programming of Deep Learning Accelerators as a Constraint Satisfaction Problem. CoRR abs/2104.04731 (2021) - 2019
- [i1]Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner:
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. CoRR abs/1910.11632 (2019)
Coauthor Index
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