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  1. 1

    RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering by Li, Chaojian, Li, Sixu, Zhao, Yang, Zhu, Wenbo, Lin, Yingyan

    ISSN: 1558-2434
    Published: ACM 29.10.2022
    “…Neural Radiance Field (NeRF) based rendering has attracted growing attention thanks to its state-of-the-art (SOTA) rendering quality and wide applications in…”
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    Conference Proceeding
  2. 2

    GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting by Li, Sixu, Keller, Ben, Lin, Yingyan Celine, Khailany, Brucek

    Published: IEEE 22.06.2025
    “… This work proposes an acceleration strategy that leverages the similarities between the 3DGS pipeline and the highly optimized conventional graphics pipeline in modern GPUs…”
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  3. 3

    DeepTaste: Augmented Reality Gustatory Manipulation with GAN-Based Real-Time Food-to-Food Translation by Nakano, Kizashi, Horita, Daichi, Sakata, Nobuchika, Kiyokawa, Kiyoshi, Yanai, Keiji, Narumi, Takuji

    Published: IEEE 01.10.2019
    “…We have been studying augmented reality (AR)-based gustatory manipulation interfaces and previously proposed a gustatory manipulation interface using generative adversarial network (GAN…”
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  4. 4

    Empirical Evaluation of Calibration and Long-term Carryover Effects of Reverberation on Egocentric Auditory Depth Perception in VR by Lin, Wan-Yi, Wang, Ying-Chu, Wu, Dai-Rong, Venkatakrishnan, Rohith, Venkatakrishnan, Roshan, Ebrahimi, Elham, Pagano, Christopher, Babu, Sabarish V., Lin, Wen-Chieh

    ISSN: 2642-5254
    Published: IEEE 01.03.2022
    “…Distance compression, which refers to the underestimation of ego-centric distance to objects, is a common problem in immersive virtual environments. Besides…”
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  5. 5

    OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems by Xie, Chenhao, Xin, Fu, Chen, Mingsong, Song, Shuaiwen Leon

    ISSN: 2575-713X
    Published: ACM 01.06.2019
    “…With the strong computation capability, NUMA-based multi-GPU system is a promising candidate to provide sustainable and scalable performance for Virtual Reality (VR…”
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  6. 6

    Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing by Saed, Mohammadreza, Chou, Yuan Hsi, Liu, Lufei, Nowicki, Tyler, Aamodt, Tor M.

    Published: IEEE 01.10.2022
    “… have started to make use of ray tracing APIs to bring more realistic graphics to their players…”
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  7. 7

    Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR by Feng Zhou, Duh, Henry Been-Lirn, Billinghurst, Mark

    ISBN: 9781424428403, 1424428408
    Published: Washington, DC, USA IEEE Computer Society 15.09.2008
    “…Although Augmented Reality technology was first developed over forty years ago, there has been little survey work giving an overview of recent research in the…”
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  8. 8

    Local-GS: An Order-Independent Gaussian Splatting Training Accelerator Exploiting Splat Locality by Sun, Yiyang, Zhi, Qinzhe, Jing, Yiqi, Ye, Le, Huang, Ru, Jia, Tianyu

    Published: IEEE 22.06.2025
    “…3D Gaussian Splatting has emerged as the SOTA approach for 3D representation and view synthesis. While Gaussian Splatting has demonstrated impressive…”
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  9. 9

    SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity by Fan, Zichen, Dai, Steve, Venkatesan, Rangharajan, Sylvester, Dennis, Khailany, Brucek

    Published: IEEE 22.06.2025
    “…Diffusion models have gained significant popularity in image generation tasks. However, generating high-quality content remains notably slow because it…”
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  10. 10

    Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs by Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

    Published: IEEE 01.09.2021
    “…Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt computing-intensive algorithms on large-scale graphs…”
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  11. 11

    SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU by Yao, Yuanzheng, Zhang, Chen, Qi, Chunyu, Chen, Ruiyang, Wang, Jun, Fu, Zhihui, Jing, Naifeng, Liang, Xiaoyao, Song, Zhuoran

    Published: IEEE 22.06.2025
    “…Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks by effectively extracting global features…”
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  12. 12

    Mars: A MapReduce Framework on graphics processors by He, Bingsheng, Fang, Wenbin, Luo, Qiong, Govindaraju, Naga K., Wang, Tuyong

    Published: ACM 01.10.2008
    “… and their programming interfaces are typically for graphics applications. As the first attempt to harness GPU's power for MapReduce, we developed Mars on an NVIDIA G80 GPU…”
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  13. 13

    Cambricon-D: Full-Network Differential Acceleration for Diffusion Models by Kong, Weihao, Hao, Yifan, Guo, Qi, Zhao, Yongwei, Song, Xinkai, Li, Xiaqing, Zou, Mo, Du, Zidong, Zhang, Rui, Liu, Chang, Wen, Yuanbo, Jin, Pengwei, Hu, Xing, Li, Wei, Xu, Zhiwei, Chen, Tianshi

    Published: IEEE 29.06.2024
    “… computational redundancy and substantial hardware expenditures.Performing differential computing on input data seems to be a feasible approach for addressing such computational redundancy and improving hardware efficacy…”
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  14. 14

    StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data by Poduval, Prathyush, Zou, Zhuowen, Najafi, Hassan, Homayoun, Houman, Imani, Mohsen

    Published: IEEE 05.12.2021
    “…Hyperdimensional Computing (HDC) is a neurally-inspired computation model working based on the observation that the human brain operates on high-dimensional representations of data, called hypervector…”
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  15. 15

    GSAcc: Accelerate 3D Gaussian Splatting via Depth Speculation and Gaussian-centric Rasterization by Yang, Mengtian, Wang, Yipeng, Lo, Chieh-Pu, Zhang, Xiuhao, Oruganti, Sirish, Kulkarni, Jaydeep P.

    Published: IEEE 22.06.2025
    “…D Gaussian Splatting (3DGS) has emerged as a promising real-time photorealistic radiance field rendering technique. Existing GPU and hardware accelerators face…”
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  16. 16

    MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization by Qi, Chunyu, Wang, Xuhang, Chen, Ruiyang, Yao, Yuanzheng, Jing, Naifeng, Zhang, Chen, Wang, Jun, Fu, Zhihui, Liang, Xiaoyao, Song, Zhuoran

    Published: IEEE 22.06.2025
    “…Diffusion models have demonstrated superior performance in image generation tasks, thus becoming the mainstream model for generative visual tasks. Diffusion…”
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  17. 17

    GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency by Jo, Joongho, Park, Jongsun

    Published: IEEE 22.06.2025
    “…3D Gaussian Splatting (3D-GS) has emerged as a promising alternative to neural radiance fields (NeRF) as it offers high speed as well as high image quality in…”
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  18. 18

    BEVSA: A Real-Time Bird's-Eye-View Semantic Segmentation Accelerator for Multi-Camera System by Lee, Sangho, Jung, Jueung, Jang, Wuyoung, Hwang, Jihyeon, Lee, Kyuho

    Published: IEEE 22.06.2025
    “…A bird's-eye-view (BEV) semantic segmentation accelerator (BEVSA) is proposed for real-time 3D space perception in multi-camera system (MCS…”
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  19. 19

    PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models by Yang, Xinhao, Zhao, Tianchen, Wang, Hongyi, Ma, Wenheng, Zeng, Shulin, Zhu, Zhenhua, Ning, Xuefei, Yang, Huazhong, Wang, Yu

    Published: IEEE 22.06.2025
    “…Transformer-based video generation models have demonstrated significant potential in content creation. However, the current state-of-the-art model employing "…”
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  20. 20

    DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs by Babaei, Amir Fakhim, Chantem, Thidapat

    Published: IEEE 22.06.2025
    “… In particular, DARIS improves GPU utilization and uniquely analyzes GPU concurrency by oversubscribing computing resources…”
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