| Cnndroid: Gpu-accelerated execution of trained deep convolutional neural networks on android SS Latifi Oskouei, H Golestani, M Hashemi, S Ghiasi Proceedings of the 24th ACM international conference on Multimedia, 1201-1205, 2016 | 127 | 2016 |
| Software data planes: You can't always spin to win H Golestani, A Mirhosseini, TF Wenisch Proceedings of the ACM Symposium on Cloud Computing, 337-350, 2019 | 28 | 2019 |
| Gpu-based acceleration of deep convolutional neural networks on mobile platforms SSL Oskouei, H Golestani, M Kachuee, M Hashemi, H Mohammadzade, ... Distrib. Parallel Clust. Comput, 2015 | 19 | 2015 |
| HyperPlane: A scalable low-latency notification accelerator for software data planes A Mirhosseini, H Golestani, TF Wenisch 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 15 | 2020 |
| Characterization of Unnecessary Computations in Web Applications H Golestani, S Mahlke, S Narayanasamy 2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019 | 5 | 2019 |
| Calipers: a criticality-aware framework for modeling processor performance H Golestani, R Sen, V Young, G Gupta Proceedings of the 36th ACM International Conference on Supercomputing, 1-14, 2022 | 4 | 2022 |
| HyperData: A Data Transfer Accelerator for Software Data Planes Based on Targeted Prefetching H Golestani, TF Wenisch 2021 IEEE 39th International Conference on Computer Design (ICCD), 326-334, 2021 | 1 | 2021 |
| Performance Modeling and Bottleneck Analysis of EDGE Processors Using Dependence Graphs H Golestani, G Gupta, R Sen IEEE Computer Architecture Letters 18 (1), 79-82, 2019 | 1 | 2019 |
| Performance modeling and analysis of microprocessors using dependency graphs G Gupta, R Sen, H Golestani US Patent 11,734,480, 2023 | | 2023 |
| Architectural Enhancements for Data Transport in Datacenter Systems H Golestani | | 2021 |
salar latifiPhD student of CSE at University of Michigan, Ann ArborVerified email at umich.edu
