Výsledky vyhľadávania - Computing methodologies Computer graphics Graphics systems AND interfaces Graphics processors*

GPU Computing Gems Emerald Edition Autor Hwu, Wen-mei W

“…GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs…”
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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.

“… Satisfying this bandwidth demand within an acceptable energy budget is a challenge in these extreme bandwidth memory systems…”
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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

“…Historically, improvements in GPU-based high performance computing have been tightly coupled to transistor scaling…”
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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

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

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

“… 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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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

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

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

“… have started to make use of ray tracing APIs to bring more realistic graphics to their players…”
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Mars: A MapReduce Framework on graphics processors Autor He, Bingsheng, Fang, Wenbin, Luo, Qiong, Govindaraju, Naga K., Wang, Tuyong

“… 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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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

“…Modern Graphics Processing Units (GPUs) are well provisioned to support the concurrent execution of thousands of threads…”
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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

“…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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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

“… 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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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

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

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

“… 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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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

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

“…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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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

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

“… 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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