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2020 – today
- 2022
[j5]Ali Heydarigorji
, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
Leveraging Computational Storage for Power-Efficient Distributed Data Analytics. ACM Trans. Embed. Comput. Syst. 21(6): 82:1-82:36 (2022)- [c10]Ali Heydarigorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
In-storage Processing of I/O Intensive Applications on Computational Storage Drives. ISQED 2022: 1-6 - 2021
- [j4]Siavash Rezaei, Abhishek Moturu, Shun Zhao, Kenneth M. Prkachin, Thomas Hadjistavropoulos, Babak Taati:
Unobtrusive Pain Monitoring in Older Adults With Dementia Using Pairwise and Contrastive Training. IEEE J. Biomed. Health Informatics 25(5): 1450-1462 (2021) - [i5]Siavash Rezaei, Abhishek Moturu, Shun Zhao, Kenneth M. Prkachin, Thomas Hadjistavropoulos, Babak Taati:
Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training. CoRR abs/2101.03251 (2021) - [i4]Ali Heydari Gorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
In-storage Processing of I/O Intensive Applications on Computational Storage Drives. CoRR abs/2112.12415 (2021) - 2020
- [b1]Siavash Rezaei:
Field Programmable Gate Array (FPGA) Accelerator Sharing. University of California, Irvine, USA, 2020 - [j3]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:
Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications. ACM Trans. Storage 16(4): 21:1-21:37 (2020) - [c9]Ali Heydari Gorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
Stannis: Low-Power Acceleration of DNN Training Using Computational Storage Devices. DAC 2020: 1-6 - [c8]Ali Heydari Gorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
HyperTune: Dynamic Hyperparameter Tuning for Efficient Distribution of DNN Training Over Heterogeneous Systems. ICCAD 2020: 88:1-88:8 - [c7]Siavash Rezaei, Abhishek Moturu, Shun Zhao, Kenneth M. Prkachin, Thomas Hadjistavropoulos, Babak Taati:
Ambient Pain Monitoring in Older Adults with Dementia to Improve Pain Management in Long-Term Care Facilities. ICMI Companion 2020: 352-353 - [i3]Ali Heydarigorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage. CoRR abs/2002.07215 (2020) - [i2]Ali Heydarigorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems. CoRR abs/2007.08077 (2020)
2010 – 2019
- 2019
- [j2]Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh:
Computational storage: an efficient and scalable platform for big data and HPC applications. J. Big Data 6: 100 (2019) - [c6]Mahdi Torabzadehkashi, Ali Heydarigorji, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh:
Accelerating HPC Applications Using Computational Storage Devices. HPCC/SmartCity/DSS 2019: 1878-1885 - [c5]Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh:
Catalina: In-Storage Processing Acceleration for Scalable Big Data Analytics. PDP 2019: 430-437 - [c4]Siavash Rezaei, Eli Bozorgzadeh, Kanghee Kim:
UltraShare: FPGA-based Dynamic Accelerator Sharing and Allocation. ReConFig 2019: 1-5 - [i1]Siavash Rezaei, Eli Bozorgzadeh, Kanghee Kim:
UltraShare: FPGA-based Dynamic Accelerator Sharing and Allocation. CoRR abs/1910.00197 (2019) - 2018
- [c3]Siavash Rezaei, Kanghee Kim, Eli Bozorgzadeh:
Scalable Multi-Queue Data Transfer Scheme for FPGA-Based Multi-Accelerators. ICCD 2018: 374-380 - [c2]Mahdi Torabzadehkashi, Siavash Rezaei, Vladimir Castro Alves, Nader Bagherzadeh:
CompStor: An In-storage Computation Platform for Scalable Distributed Processing. IPDPS Workshops 2018: 1260-1267 - 2016
- [c1]Siavash Rezaei, César-Alejandro Hernández-Calderón, Saeed Mirzamohammadi, Eli Bozorgzadeh, Alexander V. Veidenbaum, Alex Nicolau, Michael J. Prather:
Data-rate-aware FPGA-based acceleration framework for streaming applications. ReConFig 2016: 1-6 - 2014
- [j1]Siavash Rezaei, Seyed Ghassem Miremadi, Hossein Asadi, Mahdi Fazeli:
Soft error estimation and mitigation of digital circuits by characterizing input patterns of logic gates. Microelectron. Reliab. 54(6-7): 1412-1420 (2014)
Coauthor Index
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