Adjustable self-healing methodology for accelerated functions in heterogeneous systemsRiazati, Mohammad; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Sjodin, Mikael; Lisper, Bjorn2020 23rd Euromicro Conference on Digital System Design (DSD), 26-28 August 2020, Kranj, Slovenia2020 / p. 638-645 https://doi.org/10.1109/DSD51259.2020.00104

DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive GeneratorRiazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Lisper, BjörnRiazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.2022 / p. 1-6 https://doi.org/10.1109/NorCAS57515.2022.9934617

DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, Mohammad; Daneshtalab, Masoud; Sjodin, Mikael; Lisper, BjornICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings2020 / 4 p https://doi.org/10.1109/ICECS49266.2020.9294881

TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge DevicesLoni, Mohammad; Mousavi, Hamid; Riazati, Mohammad; Daneshtalab, Masoud; Sjödin, MikaelProceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022)2022 / p. 1115-1118 https://doi.org/10.23919/DATE54114.2022.9774615