Výsledky vyhledávání - Computing methodologies Computer graphics Graphics systems and interfaces Graphics processors*

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

    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…”
    Získat plný text
    Konferenční příspěvek
  9. 9

    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…”
    Získat plný text
    Konferenční příspěvek
  10. 10

    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…”
    Získat plný text
    Konferenční příspěvek
  11. 11

    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…”
    Získat plný text
    Konferenční příspěvek
  12. 12

    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…”
    Získat plný text
    Konferenční příspěvek
  13. 13

    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…”
    Získat plný text
    Konferenční příspěvek
  14. 14

    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…”
    Získat plný text
    Konferenční příspěvek Publikace
  15. 15

    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…”
    Získat plný text
    Konferenční příspěvek
  16. 16

    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…”
    Získat plný text
    Konferenční příspěvek
  17. 17

    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…”
    Získat plný text
    Konferenční příspěvek
  18. 18

    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…”
    Získat plný text
    Konferenční příspěvek
  19. 19

    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…”
    Získat plný text
    Konferenční příspěvek
  20. 20

    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…”
    Získat plný text
    Konferenční příspěvek