Výsledky vyhledávání - Computing methodologies Computer graphics Graphics system AND interfaces Graphics processors*

  1. 1

    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
    Vydáno: New York, NY, USA ACM 14.10.2017
    “… Satisfying this bandwidth demand within an acceptable energy budget is a challenge in these extreme bandwidth memory systems…”
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  2. 2

    MCM-GPU: Multi-chip-module GPUs for continued performance scalability Autor Arunkumar, Akhil, Bolotin, Evgeny, Cho, Benjamin, Milic, Ugljesa, Ebrahimi, Eiman, Villa, Oreste, Jaleel, Aamer, Wu, Carole-Jean, Nellans, David

    Vydáno: ACM 01.06.2017
    “…Historically, improvements in GPU-based high performance computing have been tightly coupled to transistor scaling…”
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  3. 3

    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
    Vydáno: 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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  4. 4

    Interplay between Hardware Prefetcher and Page Eviction Policy in CPU-GPU Unified Virtual Memory Autor Ganguly, Debashis, Zhang, Ziyu, Yang, Jun, Melhem, Rami

    ISSN: 2575-713X
    Vydáno: ACM 01.06.2019
    “…Memory capacity in GPGPUs is a major challenge for data-intensive applications with their ever increasing memory requirement. To fit a workload into the…”
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  5. 5

    Adaptive Cache Management for Energy-Efficient GPU Computing Autor Xuhao Chen, Li-Wen Chang, Rodrigues, Christopher I., Jie Lv, Zhiying Wang, Wen-Mei Hwu

    ISSN: 1072-4451
    Vydáno: IEEE 01.12.2014
    “… However, GPU caches exhibit poor efficiency due to the mismatch of the throughput-oriented execution model and its cache hierarchy design, which limits system performance and energy-efficiency…”
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  6. 6

    Rethinking Page Table Structure for Fast Address Translation in GPUs: A Fixed-Size Hashed Page Table Autor Jang, Sungbin, Park, Junhyeok, Kwon, Osang, Lee, Yongho, Hong, Seokin

    Vydáno: ACM 13.10.2024
    “…GPU memory virtualization has become essential for efficient programming, memory management, and address space sharing among computing devices in heterogeneous systems…”
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  7. 7

    Beyond the socket: NUMA-aware GPUs Autor Milic, Ugljesa, Villa, Oreste, Bolotin, Evgeny, Arunkumar, Akhil, Ebrahimi, Eiman, Jaleel, Aamer, Ramirez, Alex, Nellans, David

    ISBN: 1450349528, 9781450349529
    ISSN: 2379-3155
    Vydáno: New York, NY, USA ACM 14.10.2017
    “… To minimize scheduling logic and performance variance they utilize a uniform memory system and leverage strong data parallelism exposed via the programming model…”
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  8. 8

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

    Vydáno: 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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  9. 9

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

    Vydáno: 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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  10. 10

    A case for Core-Assisted Bottleneck Acceleration in GPUs: Enabling flexible data compression with assist warps Autor Vijaykumar, Nandita, Pekhimenko, Gennady, Jog, Adwait, Bhowmick, Abhishek, Ausavarungnirun, Rachata, Das, Chita, Kandemir, Mahmut, Mowry, Todd C., Mutlu, Onur

    ISSN: 1063-6897
    Vydáno: IEEE 13.06.2015
    “…Modern Graphics Processing Units (GPUs) are well provisioned to support the concurrent execution of thousands of threads…”
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  11. 11

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

    Vydáno: 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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  12. 12

    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

    Vydáno: 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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  13. 13

    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

    Vydáno: 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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  14. 14

    Warped-Compression: Enabling power efficient GPUs through register compression Autor Lee, Sangpil, Kim, Keunsoo, Koo, Gunjae, Jeon, Hyeran, Ro, Won Woo, Annavaram, Murali

    ISSN: 1063-6897
    Vydáno: IEEE 13.06.2015
    “…This paper presents Warped-Compression, a warp-level register compression scheme for reducing GPU power consumption. This work is motivated by the observation…”
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  15. 15

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

    Vydáno: IEEE 05.12.2021
    “… To overcome this challenge, we propose in this paper a new fast and accurate PBA algorithm by harnessing the power of graphics processing unit (GPU…”
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  16. 16

    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

    Vydáno: 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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  17. 17

    GEM: GPU-Accelerated Emulator-Inspired RTL Simulation Autor Guo, Zizheng, Zhang, Yanqing, Wang, Runsheng, Lin, Yibo, Ren, Haoxing

    Vydáno: IEEE 22.06.2025
    “…In this paper, we present a GPU-accelerated RTL simulator addressing critical challenges in high-speed circuit verification. Traditional CPU-based RTL…”
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  18. 18

    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

    Vydáno: 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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  19. 19

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

    Vydáno: 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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  20. 20

    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

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