Publications

Guilherme Korol, Michael Guilherme Jordan, Mateus Beck Rutzig, Jeronimo Castrillon, und Antonio Carlos Schneider Beck. Pruning and Early-Exit Co-Optimization for CNN Acceleration on FPGAs. In IEEE (Hrsg.), Proceedings of the 2023 Design, Automation and Test in Europe Conference (DATE), 6pp, IEEE, April 2023. [PUMA: FPGA accelerator nn] URL

Michael Niemier, Zephan Enciso, Mohammad Mehdi Sharifi, X. Sharon Hu, Ian O'Connor, Alexander Graening, Ravit Sharma, Puneet Gupta, Jeronimo Castrillon, João Paulo C. de Lima, Asif Ali Khan, Hamid Farzaneh, Nashrah Afroze, Asif Islam Khan, und Julien Ryckaert. Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, and Compilers. In IEEE (Hrsg.), Proceedings of the 2024 Design, Automation and Test in Europe Conference (DATE), 1--10, IEEE, März 2024. [PUMA: accelerator compiler computing-in-memory myown nn] URL

João Paulo C de Lima, Asif Ali Khan, Luigi Carro, und Jeronimo Castrillon. Full-Stack Optimization for CAM-Only DNN Inference. In IEEE (Hrsg.), Proceedings of the 2024 Design, Automation and Test in Europe Conference (DATE), 1-6, IEEE, März 2024. [PUMA: NN accelerator computing-in-memory myown] URL

Alexander Brauckmann, Anderson Faustino da Silva, Jeronimo Castrillon, und Hugh Leather. DFA-Net: A Compiler-Specific Neural Architecture for Robust Generalization in Data Flow Analyses. In IEEE (Hrsg.), Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction (CC 2025), Association for Computing Machinery, New York, NY, USA, März 2025. [PUMA: NN compiler data-flow]