Výsledky vyhledávání - Computing methodologies Computer graphics Graphics systems and interfaces Graphics processes

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  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…”
    Získat plný text
    Konferenční příspěvek
  12. 12

    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

    Vydáno: IEEE 22.06.2025
    “…Diffusion models have demonstrated superior performance in image generation tasks, thus becoming the mainstream model for generative visual tasks. Diffusion…”
    Získat plný text
    Konferenční příspěvek
  13. 13

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

    Vydáno: 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…”
    Získat plný text
    Konferenční příspěvek
  14. 14

    A Framework for Fine-Grained Synchronization of Dependent GPU Kernels Autor Jangda, Abhinav, Maleki, Saeed, Dehnavi, Maryam Mehri, Musuvathi, Madan, Saarikivi, Olli

    ISSN: 2643-2838
    Vydáno: IEEE 02.03.2024
    “… These computations are commonly executed on Graphics Processing Units (GPUs), by dividing the computation into independent processing blocks, known as tiles…”
    Získat plný text
    Konferenční příspěvek
  15. 15

    VISTA: Optimizing GPU Scheduling through Versatile Locality-Aware Data Sharing Autor Falahati, Hajar, Mahani, Negin, Cristal, Adrian, Unsal, Osman

    Vydáno: IEEE 22.06.2025
    “…Graphics Processing Units (GPUs) play a pivotal role in high-performance computing by utilizing the massive parallelism of concurrent thread execution to enhance processing efficiency, known as thread-level parallelism (TLP…”
    Získat plný text
    Konferenční příspěvek
  16. 16

    Efficient Edge Vision Transformer Accelerator with Decoupled Chunk Attention and Hybrid Computing-In-Memory Autor Li, Yi, Ye, Zijian, Fu, Xiangqu, Wang, Songqi, Du, Shucheng, Lin, Ning, Shang, Dashan, Yue, Jinshan, Wang, Zhongrui, Qi, Xiaojuan, Zhang, Feng, Wang, Han

    Vydáno: IEEE 22.06.2025
    “…Vision Transformers (ViTs) are new foundation models for vision applications. Edge-deploying ViTs to realize energy-saving, low-latency, and high-performance…”
    Získat plný text
    Konferenční příspěvek
  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
    “…) architecture, designed for efficient CUDA execution. We also design a flow that maps circuit logic to the architecture in a process analogous to the FPGA CAD flow…”
    Získat plný text
    Konferenční příspěvek
  18. 18

    Heterogeneous Acceleration Pipeline for Recommendation System Training Autor Adnan, Muhammad, Maboud, Yassaman Ebrahimzadeh, Mahajan, Divya, Nair, Prashant J.

    Vydáno: IEEE 29.06.2024
    “…Recommendation models rely on deep learning networks and large embedding tables, resulting in computationally and memory-intensive processes…”
    Získat plný text
    Konferenční příspěvek
  19. 19

    RADiT: Redundancy-Aware Diffusion Transformer Acceleration Leveraging Timestep Similarity Autor Park, Youngjun, Kim, Sangyeon, Kim, Yeonggeon, Ji, Gisan, Ryu, Sungju

    Vydáno: IEEE 22.06.2025
    “… However, a large amount of computations on the inference process and iterative sampling steps in the DiT models result in high computational costs, leading to substantial latency and energy consumption challenges…”
    Získat plný text
    Konferenční příspěvek
  20. 20

    Espresso: Exploiting the Sparsity Property in Event Sensors with Spatiotemporal Ordering Autor Li, Leshan, Li, Hongyi, Yang, Qingyuan, Ou, Mingtao, Zhao, Rong, Ji, Xinglong

    Vydáno: IEEE 22.06.2025
    “… However, it is challenging to efficiently stream process event data without demolishing its sparsity…”
    Získat plný text
    Konferenční příspěvek