Fault-tolerant 3-D network-on-chip design using dynamic link sharing. - Seyyed Hossein Seyyedaghaei Rezaei; Mehdi Modarressi; Reza Yazdani Aminabadi; Masoud Daneshtalab (DATE, 2016)

An ultra low-power hardware accelerator for automatic speech recognition. - Reza Yazdani; Albert Segura; José-María Arnau; Antonio González 001 (MICRO, 2016)

UNFOLD: a memory-efficient speech recognizer using on-the-fly WFST composition. - Reza Yazdani; José-María Arnau; Antonio González 001 (MICRO, 2017)

Low-Power Automatic Speech Recognition Through a Mobile GPU and a Viterbi Accelerator. - Reza Yazdani; Albert Segura; José-María Arnau; Antonio González 001 (IEEE Micro, 2017)

The Dark Side of DNN Pruning. - Reza Yazdani; Marc Riera; José-María Arnau; Antonio González 001 (ISCA, 2018)

POSTER: Leveraging Run-Time Feedback for Efficient ASR Acceleration. - Reza Yazdani; José-María Arnau; Antonio González 001 (PACT, 2019)

LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory. - Reza Yazdani; Olatunji Ruwase; Minjia Zhang; Yuxiong He; José-María Arnau; Antonio González 001 (CoRR, 2019)

A Low-Power, High-Performance Speech Recognition Accelerator. - Reza Yazdani; José-María Arnau; Antonio González 001 (IEEE Trans. Computers, 2019)

Ultra low-power, high-performance accelerator for speech recognition. - Reza Yazdani (2019)

LAWS: Locality-AWare Scheme for Automatic Speech Recognition. - Reza Yazdani; José-María Arnau; Antonio González 001 (IEEE Trans. Computers, 2020)

ZeRO-Offload: Democratizing Billion-Scale Model Training. - Jie Ren 015; Samyam Rajbhandari; Reza Yazdani Aminabadi; Olatunji Ruwase; Shuangyan Yang; Minjia Zhang; Dong Li 001; Yuxiong He (USENIX ATC, 2021)

DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. - Samyam Rajbhandari; Conglong Li; Zhewei Yao; Minjia Zhang; Reza Yazdani Aminabadi; Ammar Ahmad Awan; Jeff Rasley; Yuxiong He (ICML, 2022)

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers. - Zhewei Yao; Reza Yazdani Aminabadi; Minjia Zhang; Xiaoxia Wu; Conglong Li; Yuxiong He (NeurIPS, 2022)

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. - Reza Yazdani Aminabadi; Samyam Rajbhandari; Ammar Ahmad Awan; Cheng Li 001; Du Li; Elton Zheng; Olatunji Ruwase; Shaden Smith; Minjia Zhang; Jeff Rasley; Yuxiong He (SC, 2022)

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. - Shaden Smith; Mostofa Patwary; Brandon Norick; Patrick LeGresley; Samyam Rajbhandari; Jared Casper; Zhun Liu; Shrimai Prabhumoye; George Zerveas; Vijay Korthikanti; Elton Zheng; Rewon Child; et al. (CoRR, 2022)

Exploring the impacts of COVID-19 pandemic on risks faced by infrastructure projects in Pakistan. - Gohar Azeem; Mirpouya Mirmozaffari; Reza Yazdani; Rao Aamir Khan (Int. J. Appl. Decis. Sci., 2022)

A lion optimization algorithm for an integrating maintenance planning and production scheduling problem with a total absolute deviation of completion times objective. - Reza Yazdani; Mohammad Alipour-Vaezi; Kamyar Kabirifar; Azim Salahi Kojour; Faezeh Soleimani (Soft Comput., 2022)

Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases. - Xiaoxia Wu; Cheng Li 001; Reza Yazdani Aminabadi; Zhewei Yao; Yuxiong He (ICML, 2023)

Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases. - Xiaoxia Wu; Cheng Li 001; Reza Yazdani Aminabadi; Zhewei Yao; Yuxiong He (CoRR, 2023)

DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. - 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; et al. (CoRR, 2023)

ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers. - Zhewei Yao; Reza Yazdani Aminabadi; Stephen Youn; Xiaoxia Wu; Elton Zheng; Yuxiong He (CoRR, 2023)

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. - Xiaoxia Wu; Haojun Xia; Stephen Youn; Zhen Zheng; Shiyang Chen 004; Arash Bakhtiari; Michael Wyatt; Reza Yazdani Aminabadi; Yuxiong He; Olatunji Ruwase; Leon Song; Zhewei Yao (CoRR, 2023)

The hybrid DHP method for evaluation, ranking and selection of green suppliers in the supply chain. - Elham Shadkam; Reza Yazdani; Mirpouya Mirmozaffari; Fatemeh Adineh (Int. J. Math. Oper. Res., 2023)

SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Networks. - Reza Yazdani Aminabadi; Olatunji Ruwase; Minjia Zhang; Yuxiong He; José-María Arnau; Antonio González 001 (ACM Trans. Embed. Comput. Syst., 2023)

System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. - Sam Ade Jacobs; Masahiro Tanaka; Chengming Zhang 006; Minjia Zhang; Reza Yazdani Aminabadi; Shuaiwen Leon Song; Samyam Rajbhandari; Yuxiong He (IPDPS (Workshops), 2024)

DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference. - Connor Holmes; Masahiro Tanaka; Michael Wyatt; Ammar Ahmad Awan; Jeff Rasley; Samyam Rajbhandari; Reza Yazdani Aminabadi; Heyang Qin; Arash Bakhtiari; Lev Kurilenko; Yuxiong He (CoRR, 2024)

Strategies for Humanitarian Logistics and Supply Chain in Organizational Contexts: Pre- and Post-Disaster Management Perspectives. - Amir Aghsami; Simintaj Sharififar; Nader Markazi Moghaddam; Ebrahim Hazrati; Fariborz Jolai; Reza Yazdani (Syst., 2024)

Patterns and factors associated with dental service utilization among insured people: a data mining approach. - Zahra Pouraskari; Reza Yazdani; Maryam Khademi; Hossein Hessari (BMC Medical Informatics Decis. Mak., 2024)