  Steve Dai  

 



  ![](/sites/default/files/person/IMG_1321_0.jpg)

  

   Main Field of Interest

[Circuits and VLSI Design](/research-area/circuits)

 

  

 

 

 



 ### Publications

 

### 2026 

[GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers](/publication/2026-07_galaxydit-efficient-video-generation-guidance-alignment-and-adaptive-proxy)

Zoey Song, [Steve Dai](/person/steve-dai), [Ben Keller](/person/ben-keller), [Brucek Khailany](/person/brucek-khailany)



[DAC 2026](https://dac.com/2026)









[Alpha-Vision: A Real-Time Always-on Vision Processor with 787µs Face Detection Latency in &lt;5mW](/publication/2026-02_alpha-vision-real-time-always-vision-processor-787ms-face-detection-latency)

[Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Jason Clemons](/person/jason-clemons), [Matt Fojtik](/person/matt-fojtik), [Muya Chang](/person/muya-chang), Thierry Tambe, [Nathaniel Pinckney](/person/nathaniel-pinckney), [Stephen Tell](/person/stephen-tell), [Qijing Jenny Huang](/person/qijing-jenny-huang), [Shalini De Mello](/person/shalini-de-mello), [Brucek Khailany](/person/brucek-khailany)



[ISSCC 2026](https://www.isscc.org/)









### 2023 

[Efficient Transformer Inference with Statically Structured Sparse Attention](/publication/2023-07_efficient-transformer-inference-statically-structured-sparse-attention)

[Steve Dai](/person/steve-dai), Hasan Genc, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brucek Khailany](/person/brucek-khailany)



[2023 60th ACM/IEEE Design Automation Conference (DAC)](https://ieeexplore.ieee.org/xpl/conhome/10247654/proceeding)









[A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm](/publication/2023-01_956-topsw-deep-learning-inference-accelerator-vector-scaled-4-bit-quantization)

[Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Stephen Tell](/person/stephen-tell), [Brian Zimmer](/person/brian-zimmer), [Charbel Sakr](/person/charbel-sakr), [William Dally](/person/william-dally), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany)



[Journal of Solid-State Circuits](https://ieeexplore.ieee.org/document/10019275)









### 2022 

[LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update](/publication/2022-12_lns-madam-low-precision-training-logarithmic-number-system-using-multiplicative)

Jiawei Zhao, [Steve Dai](/person/steve-dai), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), Mustafa Ali, [Ming-Yu Liu](/person/ming-yu-liu), [Brucek Khailany](/person/brucek-khailany), [William Dally](/person/william-dally), Anima Anandkumar



[IEEE Transactions on Computers (Volume: 71, Issue: 12, 01 December 2022)](https://www.computer.org/csdl/journal/tc)









[Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training](/publication/2022-07_optimal-clipping-and-magnitude-aware-differentiation-improved-quantization)

[Charbel Sakr](/person/charbel-sakr), [Steve Dai](/person/steve-dai), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), [Brucek Khailany](/person/brucek-khailany), [William Dally](/person/william-dally)



[2022 International Conference on Machine Learning (ICML)](https://arxiv.org/abs/2206.06501)









[A 17–95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm](/publication/2022-06_17-956-topsw-deep-learning-inference-accelerator-vector-scaled-4-bit)

[Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Stephen Tell](/person/stephen-tell), [Brian Zimmer](/person/brian-zimmer), [William Dally](/person/william-dally), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany)



[2022 Symposium on VLSI Technology &amp; Circuits Digest of Technical Papers](https://www.vlsisymposium.org)









### 2021 

[Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers](/publication/2021-12_softermax-hardwaresoftware-co-design-efficient-softmax-transformers)

Jacob R. Stevens, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Brucek Khailany](/person/brucek-khailany), Anand Raghunathan



[Design Automation Conference (DAC) 2021](https://www.dac.com/)









[VS-QUANT: Per-Vector Scaled Quantization for Accurate Low-Precision Neural Network Inference](/publication/2021-04_vs-quant-vector-scaled-quantization-accurate-low-precision-neural-network)

[Steve Dai](/person/steve-dai), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), Mark Haoxing Ren, [Brian Zimmer](/person/brian-zimmer), [William Dally](/person/william-dally), [Brucek Khailany](/person/brucek-khailany)



[MLSys 2021](https://mlsys.org/)









[Verifying High-Level Latency-Insensitive Designs with Formal Model Checking](/publication/2021-02_verifying-high-level-latency-insensitive-designs-formal-model-checking)

[Steve Dai](/person/steve-dai), Alicia Klinefelter, Mark Haoxing Ren, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Ben Keller](/person/ben-keller), [Nathaniel Pinckney](/person/nathaniel-pinckney), [Brucek Khailany](/person/brucek-khailany)



[arXiv](https://arxiv.org/abs/2102.06326)









### 2020 

[Accelerating Chip Design with Machine Learning](/publication/2020-09_accelerating-chip-design-machine-learning)

[Brucek Khailany](/person/brucek-khailany), Mark Haoxing Ren, [Steve Dai](/person/steve-dai), Saad Godil, [Ben Keller](/person/ben-keller), Robert Kirby, Alicia Klinefelter, [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Yanqing Zhang](/person/yanqing-zhang), Bryan Catanzaro, [William Dally](/person/william-dally)



[IEEE Micro](https://ieeexplore.ieee.org/document/9205654)









### 2019 

[MAGNet: A Modular Accelerator Generator for Neural Networks](/publication/2019-11_magnet-modular-accelerator-generator-neural-networks)

[Rangharajan Venkatesan](/person/rangharajan-venkatesan), Sophia Shao, Miaorong Wang, [Jason Clemons](/person/jason-clemons), [Steve Dai](/person/steve-dai), [Matt Fojtik](/person/matt-fojtik), [Ben Keller](/person/ben-keller), Alicia Klinefelter, [Nathaniel Pinckney](/person/nathaniel-pinckney), Priyanka Raina, [Yanqing Zhang](/person/yanqing-zhang), [Brian Zimmer](/person/brian-zimmer), [William Dally](/person/william-dally), [Joel Emer](/person/joel-emer), [Steve Keckler](/person/stephen-keckler), [Brucek Khailany](/person/brucek-khailany)



[International Conference On Computer Aided Design (ICCAD)](https://ieeexplore.ieee.org/document/8942127)