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Reza Yazdani
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2020 – today
- 2024
- [j9]Zahra Pouraskari, Reza Yazdani, Maryam Khademi, Hossein Hessari:
Patterns and factors associated with dental service utilization among insured people: a data mining approach. BMC Medical Informatics Decis. Mak. 24(1): 180 (2024) - [j8]Amir Aghsami
, Simintaj Sharififar, Nader Markazi Moghaddam, Ebrahim Hazrati, Fariborz Jolai
Strategies for Humanitarian Logistics and Supply Chain in Organizational Contexts: Pre- and Post-Disaster Management Perspectives. Syst. 12(6): 215 (2024) - [c11]Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminabadi, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He:
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. IPDPS (Workshops) 2024: 1206-1208 - [i11]Connor Holmes, Masahiro Tanaka, Michael Wyatt, Ammar Ahmad Awan, Jeff Rasley, Samyam Rajbhandari, Reza Yazdani Aminabadi, Heyang Qin, Arash Bakhtiari, Lev Kurilenko, Yuxiong He:
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference. CoRR abs/2401.08671 (2024) - 2023
- [j7]Elham Shadkam, Reza Yazdani, Mirpouya Mirmozaffari, Fatemeh Adineh:
The hybrid DHP method for evaluation, ranking and selection of green suppliers in the supply chain. Int. J. Math. Oper. Res. 25(1): 118-138 (2023) - [j6]Reza Yazdani Aminabadi
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Networks. ACM Trans. Embed. Comput. Syst. 22(2): 30:1-30:23 (2023) - [c10]Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He:
Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases. ICML 2023: 37524-37539 - [i10]Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He:
Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases. CoRR abs/2301.12017 (2023) - [i9]Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase, Samyam Rajbhandari, Xiaoxia Wu, Ammar Ahmad Awan, Jeff Rasley, Minjia Zhang, Conglong Li, Connor Holmes, Zhongzhu Zhou, Michael Wyatt, Molly Smith, Lev Kurilenko, Heyang Qin, Masahiro Tanaka, Shuai Che, Shuaiwen Leon Song, Yuxiong He:
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. CoRR abs/2308.01320 (2023) - [i8]Zhewei Yao, Reza Yazdani Aminabadi, Stephen Youn, Xiaoxia Wu, Elton Zheng, Yuxiong He:
ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers. CoRR abs/2310.17723 (2023) - [i7]Xiaoxia Wu, Haojun Xia, Stephen Youn, Zhen Zheng, Shiyang Chen, Arash Bakhtiari, Michael Wyatt, Reza Yazdani Aminabadi, Yuxiong He, Olatunji Ruwase, Leon Song, Zhewei Yao:
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. CoRR abs/2312.08583 (2023) - 2022
- [j5]Gohar Azeem, Mirpouya Mirmozaffari, Reza Yazdani, Rao Aamir Khan:
Exploring the impacts of COVID-19 pandemic on risks faced by infrastructure projects in Pakistan. Int. J. Appl. Decis. Sci. 15(2): 181-200 (2022) - [j4]Reza Yazdani, Mohammad Alipour-Vaezi
A lion optimization algorithm for an integrating maintenance planning and production scheduling problem with a total absolute deviation of completion times objective. Soft Comput. 26(24): 13953-13968 (2022) - [c9]Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He:
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. ICML 2022: 18332-18346 - [c8]Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He:
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers. NeurIPS 2022 - [c7]Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He:
DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. SC 2022: 46:1-46:15 - [i6]Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He:
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. CoRR abs/2201.05596 (2022) - [i5]Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro:
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR abs/2201.11990 (2022) - [i4]Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He:
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers. CoRR abs/2206.01861 (2022) - [i3]Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He:
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. CoRR abs/2207.00032 (2022) - 2021
- [c6]Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He:
ZeRO-Offload: Democratizing Billion-Scale Model Training. USENIX ATC 2021: 551-564 - [i2]Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He:
ZeRO-Offload: Democratizing Billion-Scale Model Training. CoRR abs/2101.06840 (2021) - 2020
- [j3]Reza Yazdani
LAWS: Locality-AWare Scheme for Automatic Speech Recognition. IEEE Trans. Computers 69(8): 1197-1208 (2020)
2010 – 2019
- 2019
- [b1]Reza Yazdani:
Ultra low-power, high-performance accelerator for speech recognition. Polytechnic University of Catalonia, Spain, 2019 - [j2]Reza Yazdani
A Low-Power, High-Performance Speech Recognition Accelerator. IEEE Trans. Computers 68(12): 1817-1831 (2019) - [c5]Reza Yazdani, José-María Arnau, Antonio González:
POSTER: Leveraging Run-Time Feedback for Efficient ASR Acceleration. PACT 2019: 463-464 - [i1]Reza Yazdani, Olatunji Ruwase, Minjia Zhang, Yuxiong He, José-María Arnau, Antonio González:
LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory. CoRR abs/1911.01258 (2019) - 2018
- [c4]Reza Yazdani, Marc Riera, José-María Arnau, Antonio González:
The Dark Side of DNN Pruning. ISCA 2018: 790-801 - 2017
- [j1]Reza Yazdani, Albert Segura, José-María Arnau, Antonio González
Low-Power Automatic Speech Recognition Through a Mobile GPU and a Viterbi Accelerator. IEEE Micro 37(1): 22-29 (2017) - [c3]Reza Yazdani, José-María Arnau, Antonio González:
UNFOLD: a memory-efficient speech recognizer using on-the-fly WFST composition. MICRO 2017: 69-81 - 2016
- [c2]Seyyed Hossein Seyyedaghaei Rezaei, Mehdi Modarressi, Reza Yazdani Aminabadi, Masoud Daneshtalab:
Fault-tolerant 3-D network-on-chip design using dynamic link sharing. DATE 2016: 1195-1200 - [c1]Reza Yazdani, Albert Segura, José-María Arnau, Antonio González
An ultra low-power hardware accelerator for automatic speech recognition. MICRO 2016: 47:1-47:12
Coauthor Index
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