Deepthings: Distributed adaptive deep learning inference on resource-constrained iot edge clusters Z Zhao, KM Barijough, A Gerstlauer IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 450 | 2018 |
Implementation-aware model analysis: The case of buffer-throughput tradeoff in streaming applications KM Barijough, M Hashemi, V Khibin, S Ghiasi Proceedings of the 16th ACM SIGPLAN/SIGBED Conference on Languages …, 2015 | 6 | 2015 |
A fine-grained configurable cache architecture for soft processors M Biglari, KM Barijough, M Goudarzi, B Pourmohseni 2015 18th CSI International Symposium on Computer Architecture and Digital …, 2015 | 5 | 2015 |
Network-level design space exploration of resource-constrained networks-of-systems Z Zhao, KM Barijough, A Gerstlauer ACM Transactions on Embedded Computing Systems (TECS) 19 (4), 1-26, 2020 | 3 | 2020 |
Quality/latency-aware real-time scheduling of distributed streaming IoT applications KM Barijough, Z Zhao, A Gerstlauer ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-23, 2019 | 2 | 2019 |
Exploiting approximations in real-time scheduling KM Barijough, L Huang, IH Hou, SS Sapatnekar, J Hu, A Gerstlauer Approximate Computing Techniques: From Component-to Application-Level, 287-322, 2022 | 1 | 2022 |
Throughput-Driven Parallel Embedded Software Synthesis from Synchronous Dataflow Models: Caveats and Remedies M Hashemi, KM Barijough, S Ghiasi Model-Implementation Fidelity in Cyber Physical System Design, 91-127, 2017 | | 2017 |
Implementation-Aware Buffer-Throughput Tradeoff in Embedded Stream Applications K Mirzazad, M Hashemi, V Khibin, S Ghiasi | | |