Výsledky vyhľadávania - "Computing methodologies Computer graphics Graphics systems and interfaces"

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  1. 1

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

    ISSN: 1558-2434
    Vydavateľské údaje: 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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  2. 2

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

    Vydavateľské údaje: IEEE 22.06.2025
    “…3D intelligence leverages rich 3D features and stands as a promising frontier in AI, with 3D rendering fundamental to many downstream applications. 3D Gaussian…”
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  3. 3

    Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems Autor O'Connor, Mike, Chatterjee, Niladrish, Lee, Donghyuk, Wilson, John, Agrawal, Aditya, Keckler, Stephen W., Dally, William J.

    ISBN: 1450349528, 9781450349529
    ISSN: 2379-3155
    Vydavateľské údaje: New York, NY, USA ACM 14.10.2017
    “…Future GPUs and other high-performance throughput processors will require multiple TB/s of bandwidth to DRAM. Satisfying this bandwidth demand within an…”
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  4. 4

    Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction Autor Keshavarzi, Mohammad, Yang, Allen Y., Ko, Woojin, Caldas, Luisa

    ISSN: 2642-5254
    Vydavateľské údaje: IEEE 01.03.2020
    “…Spatial computing experiences are physically constrained by the geometry and semantics of the local user environment. This limitation is elevated in remote…”
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  5. 5

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

    Vydavateľské údaje: IEEE 01.10.2022
    “…Ray tracing can generate photorealistic images with more convincing visual effects compared to rasterization. Recent hardware advances have enabled ray tracing…”
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  6. 6

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

    ISBN: 9781424428403, 1424428408
    Vydavateľské údaje: 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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  7. 7

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

    Vydavateľské údaje: ACM 01.10.2008
    “…We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by…”
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    StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data Autor Poduval, Prathyush, Zou, Zhuowen, Najafi, Hassan, Homayoun, Houman, Imani, Mohsen

    Vydavateľské údaje: 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…”
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  9. 9

    A Multi-aperture Coaxial Projector Balancing Shadow Suppression and Deblurring Autor Kusuyama, Hiroki, Kageyama, Yuta, Iwai, Daisuke, Sato, Kosuke

    ISSN: 1077-2626, 1941-0506, 1941-0506
    Vydavateľské údaje: United States IEEE 01.11.2024
    “…This paper proposes a projection system that optically removes the cast shadow in projection mapping. Specifically, we realize the large-aperture (LA)…”
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    Journal Article
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    Cambricon-D: Full-Network Differential Acceleration for Diffusion Models Autor 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

    Vydavateľské údaje: IEEE 29.06.2024
    “…Diffusion models have made significant progress in current image generation tasks, thus becoming a prominent area of research. Diffusion models necessitate…”
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    STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support Autor Zhang, Chenqi, Feng, Yu, Zhao, Jieru, Liu, Guangda, Ding, Wenchao, Wu, Chentao, Guo, Minyi

    Vydavateľské údaje: IEEE 22.06.2025
    “…3D Gaussian Splatting (3DGS) has gained popularity for its efficiency and sparse Gaussian-based representation. However, 3DGS struggles to meet the real-time…”
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  12. 12

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

    ISSN: 2575-713X
    Vydavateľské údaje: 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…”
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  13. 13

    GPU-accelerated Path-based Timing Analysis Autor Guo, Guannan, Huang, Tsung-Wei, Lin, Yibo, Wong, Martin

    Vydavateľské údaje: IEEE 05.12.2021
    “…Path-based Analysis (PBA) is an important step in the design closure flow for reducing slack pessimism. However, PBA is extremely time-consuming. Recent years…”
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  14. 14

    ACRS: Adjacent Computation Resource Sharing among Partitioned GPU Sub-Cores Autor Song, Penghao, Wang, Chongxi, Han, Chenji, Zhao, Haoyu, Zhang, Tingting, Liu, Tianyi, Wang, Jian

    Vydavateľské údaje: IEEE 22.06.2025
    “…Modern GPUs typically segment Streaming Multiprocessors (SMs) into sub-cores (e.g. 4 sub-cores) to reduce power consumption and chip area. However, this…”
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    Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way Autor Zhao, Tianlang, Liu, Jun, Li, Xingyang, Ding, Li, Li, Jinhao, Li, Shuaiheng, Hu, Jinbo, Dai, Guohao

    Vydavateľské údaje: IEEE 22.06.2025
    “…Video Generation Models based on 3D full attention (3D-VGMs) have significantly enhanced video quality. However, their inference overhead remains substantial,…”
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    FeKAN: Efficient Kolmogorov-Arnold Networks Accelerator Using FeFET-based CAM and LUT Autor Yu, Xuliang, Qian, Yu, Yin, Xunzhao, Zhuo, Cheng, Zhao, Liang

    Vydavateľské údaje: IEEE 22.06.2025
    “…Kolmogorov-Arnold networks (KANs) have emerged as a promising alternative to MLP due to their adaptive learning capabilities for complex dependencies through…”
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    RADiT: Redundancy-Aware Diffusion Transformer Acceleration Leveraging Timestep Similarity Autor Park, Youngjun, Kim, Sangyeon, Kim, Yeonggeon, Ji, Gisan, Ryu, Sungju

    Vydavateľské údaje: IEEE 22.06.2025
    “…Diffusion Transformers (DiTs) have demonstrated unprecedented performance across various generative tasks including image and video generation. However, a…”
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    MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization Autor Qi, Chunyu, Wang, Xuhang, Chen, Ruiyang, Yao, Yuanzheng, Jing, Naifeng, Zhang, Chen, Wang, Jun, Fu, Zhihui, Liang, Xiaoyao, Song, Zhuoran

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

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

    Vydavateľské údaje: IEEE 22.06.2025
    “…Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks by effectively extracting global features. However, their…”
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