受强制性开放获取政策约束的文章 - Hossein Bobarshad了解详情
可在其他位置公开访问的文章：5 篇
查看
Cost-effective, energy-efficient, and scalable storage computing for large-scale AI applications
J Do, VC Ferreira, H Bobarshad, M Torabzadehkashi, S Rezaei, ...
ACM Transactions on Storage (TOS) 16 (4), 1-37, 2020
强制性开放获取政策： US National Science Foundation
查看
Computational storage: an efficient and scalable platform for big data and hpc applications
M Torabzadehkashi, S Rezaei, A HeydariGorji, H Bobarshad, V Alves, ...
Journal of Big Data 6 (1), 100, 2019
强制性开放获取政策： US National Science Foundation
查看
Hypertune: Dynamic hyperparameter tuning for efficient distribution of dnn training over heterogeneous systems
A HeydariGorji, S Rezaei, M Torabzadehkashi, H Bobarshad, V Alves, ...
Proceedings of the 39th International Conference on Computer-Aided Design, 1-8, 2020
强制性开放获取政策： US National Science Foundation
查看
Stannis: low-power acceleration of dnn training using computational storage devices
A HeydariGorji, M Torabzadehkashi, S Rezaei, H Bobarshad, V Alves, ...
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
强制性开放获取政策： US National Science Foundation
查看
In-storage processing of I/O intensive applications on computational storage drives
A HeydariGorji, M Torabzadehkashi, S Rezaei, H Bobarshad, V Alves, ...
2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-6, 2022
强制性开放获取政策： US National Science Foundation
出版信息和资助信息由计算机程序自动确定