Výsledky vyhledávání - Computing methodologies Computer graphics Graphics system AND interfaces Graphics processors*
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Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems
ISBN: 1450349528, 9781450349529ISSN: 2379-3155Vydáno: New York, NY, USA ACM 14.10.2017Vydáno v MICRO-50 : the 50th annual IEEE/ACM International Symposium on Microarchitecture : proceedings : October 14-18, 2017, Cambridge, MA (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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MCM-GPU: Multi-chip-module GPUs for continued performance scalability
Vydáno: ACM 01.06.2017Vydáno v 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA) (01.06.2017)“…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
ISSN: 1558-2434Vydáno: ACM 29.10.2022Vydáno v 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) (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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Interplay between Hardware Prefetcher and Page Eviction Policy in CPU-GPU Unified Virtual Memory
ISSN: 2575-713XVydáno: ACM 01.06.2019Vydáno v 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA) (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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Adaptive Cache Management for Energy-Efficient GPU Computing
ISSN: 1072-4451Vydáno: IEEE 01.12.2014Vydáno v 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture (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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Rethinking Page Table Structure for Fast Address Translation in GPUs: A Fixed-Size Hashed Page Table
Vydáno: ACM 13.10.2024Vydáno v 2024 33rd International Conference on Parallel Architectures and Compilation Techniques (PACT) (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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Beyond the socket: NUMA-aware GPUs
ISBN: 1450349528, 9781450349529ISSN: 2379-3155Vydáno: New York, NY, USA ACM 14.10.2017Vydáno v MICRO-50 : the 50th annual IEEE/ACM International Symposium on Microarchitecture : proceedings : October 14-18, 2017, Cambridge, MA (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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Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing
Vydáno: IEEE 01.10.2022Vydáno v 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO) (01.10.2022)“… 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
Vydáno: ACM 01.10.2008Vydáno v PACT'08 : proceedings of the Seventeenth International Conference on Parallel Architectures and Compilation Techniques : Toronto, Ontario, Canada, October 25-29, 2008 (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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A case for Core-Assisted Bottleneck Acceleration in GPUs: Enabling flexible data compression with assist warps
ISSN: 1063-6897Vydáno: IEEE 13.06.2015Vydáno v Proceedings - International Symposium on Computer Architecture (13.06.2015)“…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
Vydáno: IEEE 05.12.2021Vydáno v 2021 58th ACM/IEEE Design Automation Conference (DAC) (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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Cambricon-D: Full-Network Differential Acceleration for Diffusion Models
Vydáno: IEEE 29.06.2024Vydáno v 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) (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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STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support
Vydáno: IEEE 22.06.2025Vydáno v 2025 62nd ACM/IEEE Design Automation Conference (DAC) (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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Warped-Compression: Enabling power efficient GPUs through register compression
ISSN: 1063-6897Vydáno: IEEE 13.06.2015Vydáno v Proceedings - International Symposium on Computer Architecture (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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GPU-accelerated Path-based Timing Analysis
Vydáno: IEEE 05.12.2021Vydáno v 2021 58th ACM/IEEE Design Automation Conference (DAC) (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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Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way
Vydáno: IEEE 22.06.2025Vydáno v 2025 62nd ACM/IEEE Design Automation Conference (DAC) (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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GEM: GPU-Accelerated Emulator-Inspired RTL Simulation
Vydáno: IEEE 22.06.2025Vydáno v 2025 62nd ACM/IEEE Design Automation Conference (DAC) (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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ACRS: Adjacent Computation Resource Sharing among Partitioned GPU Sub-Cores
Vydáno: IEEE 22.06.2025Vydáno v 2025 62nd ACM/IEEE Design Automation Conference (DAC) (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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GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting
Vydáno: IEEE 22.06.2025Vydáno v 2025 62nd ACM/IEEE Design Automation Conference (DAC) (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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SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU
Vydáno: IEEE 22.06.2025Vydáno v 2025 62nd ACM/IEEE Design Automation Conference (DAC) (22.06.2025)“…Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks by effectively extracting global features…”
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