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IRIS: Illustrative Rendering for Integral Surfaces

Mathias Hummel, Christoph Garth, Bernd Hamann, Hans Hagen, Kenneth I. Joy

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Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Rendering, Visualization

August 5, 2011 by hgpu

Depth Images: Representations and Real-Time Rendering

Pooja Verlani, Aditi Goswami, P.J. Narayanan, Shekhar Dwivedi, Sashi Kumar Penta

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Tags: Algorithms, Compression, Computer science, nVidia, nVidia GeForce 6600 GT, OpenGL, Real-time graphics, Rendering

August 5, 2011 by hgpu

Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization

Chaoli Wang, Antonio Garcia, Han-Wei Shen

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Tags: Algorithms, Computer science, Image generation, nVidia, nVidia Quadro FX 3400, OpenGL, Rendering, Visualization

August 5, 2011 by hgpu

Petascale visualization: Approaches and initial results

James Ahrens, Li-Ta Lo, Boonthanome Nouanesengsy, John Patchett, Allen McPherson

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Tags: Computer science, GPU cluster, nVidia, nVidia Quadro FX 5600, OpenGL, Presentation, Raytracing, Rendering, Visualization

August 5, 2011 by hgpu

A parallel decoding algorithm of LDPC codes using CUDA

Shuang Wang, Samuel Cheng, Qiang Wu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Parity-check codes

August 4, 2011 by hgpu

Image-Based Proxy Accumulation for Real-Time Soft Global Illumination

Peter-Pike Sloan, Naga K. Govindaraju, Derek Nowrouzezahrai, John Snyder

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, nVidia, nVidia GeForce 8800 GTX, Rendering

August 4, 2011 by hgpu

Tradeoffs in designing accelerator architectures for visual computing

Aqeel Mahesri, Daniel Johnson, Neal Crago, Sanjay J. Patel

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Tags: Benchmarking, CMP, Computer science, Computer vision, Rendering, Video encoding, Visualization

August 4, 2011 by hgpu

Global Illumination for Interactive Lighting Design Using Light Path Pre-Computation and Hierarchical Histogram Estimation

Yonghao Yue, Kei Iwasaki, Yoshinori Dobashi, Tomoyuki Nishita

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7800 GTX, Rendering

August 4, 2011 by hgpu

A lighting model for fast rendering of forest ecosystems

Robert Geist, Jay Steele

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Raytracing, Rendering

August 4, 2011 by hgpu

Visibility Cuts: A System for Rendering Dynamic Virtual Environments

Soumyajit Deb, Ankit Gupta

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Tags: Algorithms, ATI, ATI Radeon X1900, Computer science, OpenGL, Rendering

August 4, 2011 by hgpu

High-Performance Multi-View Reconstruction

Christopher Zach, Mario Sormann, Konrad Karner

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800, Visualization

August 4, 2011 by hgpu

High Quality Image Reconstruction of Point Models

Ricardo Marroquim, Antonio Oliveira, Paulo Roma Cavalcanti

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, OpenGL

August 4, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

IRIS: Illustrative Rendering for Integral Surfaces

Depth Images: Representations and Real-Time Rendering

Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization

Petascale visualization: Approaches and initial results

A parallel decoding algorithm of LDPC codes using CUDA

Image-Based Proxy Accumulation for Real-Time Soft Global Illumination

Tradeoffs in designing accelerator architectures for visual computing

Global Illumination for Interactive Lighting Design Using Light Path Pre-Computation and Hierarchical Histogram Estimation

A lighting model for fast rendering of forest ecosystems

Visibility Cuts: A System for Rendering Dynamic Virtual Environments

High-Performance Multi-View Reconstruction

High Quality Image Reconstruction of Point Models

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

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