no code implementations • 14 Jan 2024 • Guangyu Meng, Ruyu Zhou, Liu Liu, Peixian Liang, Fang Liu, Danny Chen, Michael Niemier, X. Sharon Hu
Earth Mover's Distance (EMD) is an important similarity measure between two distributions, used in computer vision and many other application domains.
no code implementations • 13 Nov 2020 • Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael Niemier, X. Sharon Hu
Moreover, this approach achieves accuracies comparable to floating-point precision implementations in software for NN classification and one/few-shot learning tasks.
no code implementations • 29 May 2019 • Andrew W. Stephan, Qiuwen Lou, Michael Niemier, X. Sharon Hu, Steven J. Koester
A new spintronic nonvolatile memory cell analogous to 1T DRAM with non-destructive read is proposed.
no code implementations • 28 Feb 2019 • Qiuwen Lou, Indranil Palit, Tang Li, Andras Horvath, Michael Niemier, X. Sharon Hu
While it is well-known that CeNNs can be well-suited for spatio-temporal information processing, few (if any) studies have quantified the energy/delay/accuracy of a CeNN-friendly algorithm and compared the CeNN-based approach to the best von Neumann algorithm at the application level.
no code implementations • 30 Oct 2018 • Qiuwen Lou, Chenyun Pan, John McGuiness, Andras Horvath, Azad Naeemi, Michael Niemier, X. Sharon Hu
Deep neural network (DNN) accelerators with improved energy and delay are desirable for meeting the requirements of hardware targeted for IoT and edge computing systems.