Suchergebnisse - "Computing methodologies Computer graphics Graphics systems and interfaces Graphics processors"

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

“… 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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MCM-GPU: Multi-chip-module GPUs for continued performance scalability von 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. As Moore's law slows down, and the number …”
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RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering von 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 von 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 von Xuhao Chen, Li-Wen Chang, Rodrigues, Christopher I., Jie Lv, Zhiying Wang, Wen-Mei Hwu

“… With the SIMT execution model, GPUs can hide memory latency through massive multithreading for many applications that have regular memory access patterns. To …”
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Rethinking Page Table Structure for Fast Address Translation in GPUs: A Fixed-Size Hashed Page Table von 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 …”
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Beyond the socket: NUMA-aware GPUs von Milic, Ugljesa, Villa, Oreste, Bolotin, Evgeny, Arunkumar, Akhil, Ebrahimi, Eiman, Jaleel, Aamer, Ramirez, Alex, Nellans, David

“… GPUs achieve high throughput and power efficiency by employing many small single instruction multiple thread (SIMT) cores. To minimize scheduling logic and …”
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Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing von Saed, Mohammadreza, Chou, Yuan Hsi, Liu, Lufei, Nowicki, Tyler, Aamodt, Tor M.

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

“… 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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A case for Core-Assisted Bottleneck Acceleration in GPUs: Enabling flexible data compression with assist warps von 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. Unfortunately, diUerent bottlenecks …”
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StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data von 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 …”
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Cambricon-D: Full-Network Differential Acceleration for Diffusion Models von 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

“… 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 von 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 von 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 von Guo, Guannan, Huang, Tsung-Wei, Lin, Yibo, Wong, Martin

“… 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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ACRS: Adjacent Computation Resource Sharing among Partitioned GPU Sub-Cores von 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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Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way von 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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RADiT: Redundancy-Aware Diffusion Transformer Acceleration Leveraging Timestep Similarity von Park, Youngjun, Kim, Sangyeon, Kim, Yeonggeon, Ji, Gisan, Ryu, Sungju

“… Diffusion Transformers (DiTs) have demonstrated unprecedented performance across various generative tasks including image and video generation. However, a …”
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GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting von Li, Sixu, Keller, Ben, Lin, Yingyan Celine, Khailany, Brucek

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

“… 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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