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Results: 24
Number of items: 24
  • Open Access
    Meloni, P., Loi, D., Busia, P., Deriu, G., Pimentel, A. D., Sapra, D., Stefanov, T., Minakova, S., Conti, F., Benini, L., Pintor, M., Biggio, B., Moser, B., Shepeleva, N., Fragoulis, N., Theodorakopoulos, I., Masin, M., & Palumbo, F. (2019). Optimization and deployment of CNNs at the Edge: The ALOHA experience. In ACM International Conference on Computing Frontiers 2019 (CF 2019) : proceedings : April 30-May 2, 2019, Alghero, Sardinia, Italy (pp. 326-332). Association for Computing Machinery. https://doi.org/10.1145/3310273.3323435
  • Open Access
    Meloni, P., Loi, D., Deriu, G., Pimentel, A. D., Sapra, D., Pintor, M., Biggio, B., Ripolles, O., Solans, D., Conti, F., Benini, L., Stefanov, T., Minakova, S., Moser, B., Shepeleva, N., Masin, M., Palumbo, F., Fragoulis, N., & Theodorakopoulos, I. (2018). Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. In Proceeding of 2018 30th International Conference on Microelectronics (pp. 52-55). IEEE. https://doi.org/10.1109/ICM.2018.8704093
  • Open Access
    Meloni, P., Loi, D., Deriu, G., Pimentel, A. D., Sapra, D., Moser, B., Shepeleva, N., Conti, F., Benini, L., Ripolles, O., Solans, D., Pintor, M., Biggio, B., Stefanov, T., Minakova, S., Fragoulis, N., Theodorakopoulos, I., Masin, M., & Palumbo, F. (2018). ALOHA: an architectural-aware framework for deep learning at the edge. In M. Martina, & W. Fornanciari (Eds.), INTelligent Embedded Systems Architectures and Applications (INTESA): workshop proceedings 2018 : October 4, 2018, Torino, Italy (pp. 19-26). The Association for Computing Machinery. https://doi.org/10.1145/3285017.3285019
  • Open Access
    Sapra, D., & Altmeyer, S. (2017). Work In Progress: Design-Space Exploration of Multi-core Processors for Safety-Critical Real-Time Systems. In 2017 IEEE Real-Time Systems Symposium: proceedings : 5-8 December 2017, Paris, France (pp. 360-362). IEEE Computer Society. https://doi.org/10.1109/RTSS.2017.00040
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