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- research-articleSeptember 2024
Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework
- Xiaoyu Sun,
- Xiaochen Peng,
- Sai Qian Zhang,
- Jorge Gomez,
- Win-San Khwa,
- Syed Shakib Sarwar,
- Ziyun Li,
- Weidong Cao,
- Zhao Wang,
- Chiao Liu,
- Meng-Fan Chang,
- Barbara De Salvo,
- Kerem Akarvardar,
- H.-S. Philip Wong
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 6Article No.: 93, Pages 1–27https://doi.org/10.1145/3670404Augmented Reality and Virtual Reality have emerged as the next frontier of intelligent image sensors and computer systems. In these systems, 3D die stacking stands out as a compelling solution, enabling in situ processing capability of the sensory data ...
- research-articleJune 2024
Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads
- Yuan-Chun Luo,
- Anni Lu,
- Janak Sharda,
- Moritz Scherer,
- Jorge Tomas Gomez,
- Syed Shakib Sarwar,
- Ziyun Li,
- Reid Frederick Pinkham,
- Barbara De Salvo,
- Shimeng Yu
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (ITVL), Volume 32, Issue 9Pages 1718–1725https://doi.org/10.1109/TVLSI.2024.3415481Heterogeneous 3-D (H3D) integration not only reduces the chip form factor and fabrication cost but also allows the merging of diverse compute paradigms that suit different applications. This is especially attractive when modern algorithms, such as the ...
- research-articleOctober 2023
Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications
IEEE Micro (IMIC), Volume 43, Issue 6Pages 40–49https://doi.org/10.1109/MM.2023.3321249Low-power edge AI capabilities are essential for on-device extended reality (XR) applications to support the vision of the metaverse. In this work, we investigate two representative XR workloads, 1) hand detection and 2) eye segmentation, for hardware ...
- research-articleJuly 2023
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design
- Haoran You,
- Yang Zhao,
- Cheng Wan,
- Zhongzhi Yu,
- Yonggan Fu,
- Jiayi Yuan,
- Shang Wu,
- Shunyao Zhang,
- Yongan Zhang,
- Chaojian Li,
- Vivek Boominathan,
- Ashok Veeraraghavan,
- Ziyun Li,
- Yingyan Celine Lin
IEEE Micro (IMIC), Volume 43, Issue 4Pages 88–97https://doi.org/10.1109/MM.2023.3274736Eye tracking has become an essential human–machine interaction modality in virtual reality (VR) and augmented reality (AR) applications requiring high throughput (e.g., more than 240 frames per second), small form factor, and enhanced visual privacy. ...
- research-articleJune 2022
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design
- Haoran You,
- Cheng Wan,
- Yang Zhao,
- Zhongzhi Yu,
- Yonggan Fu,
- Jiayi Yuan,
- Shang Wu,
- Shunyao Zhang,
- Yongan Zhang,
- Chaojian Li,
- Vivek Boominathan,
- Ashok Veeraraghavan,
- Ziyun Li,
- Yingyan Lin
ISCA '22: Proceedings of the 49th Annual International Symposium on Computer ArchitecturePages 610–622https://doi.org/10.1145/3470496.3527443Eye tracking has become an essential human-machine interaction modality for providing immersive experience in numerous virtual and augmented reality (VR/AR) applications desiring high throughput (e.g., 240 FPS), small-form, and enhanced visual privacy. ...