Mahdi Torabzadehkashi

According to our database, Mahdi Torabzadehkashi authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Leveraging Computational Storage for Power-Efficient Distributed Data Analytics.

Ali Heydarigorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou

ACM Trans. Embed. Comput. Syst., November, 2022

In-storage Processing of I/O Intensive Applications on Computational Storage Drives.

Ali Heydarigorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2020

Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications.

Jae Young Do, Victor da Cruz Ferreira, Hossein Bobarshad, Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Diego Fonseca Pereira de Souza, Brunno F. Goldstein, Leandro Santiago, Min Soo Kim, Priscila M. V. Lima, Felipe M. G. França, Vladimir Castro Alves

ACM Trans. Storage, 2020

STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage.

Ali Heydarigorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou

CoRR, 2020

HyperTune: Dynamic Hyperparameter Tuning for Efficient Distribution of DNN Training Over Heterogeneous Systems.

Ali Heydari Gorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Stannis: Low-Power Acceleration of DNN Training Using Computational Storage Devices.

Ali Heydari Gorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

SoC-Based In-Storage Processing: Bringing Flexibility and Efficiency to Near-Data Processing.

Mahdi Torabzadehkashi

PhD thesis, 2019

Computational storage: an efficient and scalable platform for big data and HPC applications.

Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh

J. Big Data, 2019

Catalina: In-Storage Processing Acceleration for Scalable Big Data Analytics.

Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh

Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Accelerating HPC Applications Using Computational Storage Devices.

Mahdi Torabzadehkashi, Ali Heydarigorji, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

CompStor: An In-storage Computation Platform for Scalable Distributed Processing.

Mahdi Torabzadehkashi, Siavash Rezaei, Vladimir Castro Alves, Nader Bagherzadeh

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018