high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Image representation by blob and its application in CT reconstruction from few projections

Han Wang, Laurent Desbat, Samuel Legoupil

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Tags: Computed tomography, Computer science, CT, CUDA, Image reconstruction, Numerical Analysis, nVidia, Tesla C2070

July 27, 2011 by hgpu

High-Speed Dense Stereo Via Directional Center-Biased Windows on Graphics Hardware

Jiangbo Lu, S. Rogmans, G. Lafruit, F. Catthoor

Tags: Algorithms, Benchmarking, Computer science, nVidia, nVidia GeForce 7900, Optimization, Stereo vision

July 27, 2011 by hgpu

Experiences with hybrid clusters

Eric Van Hensbergen, Damir Jamsek

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Tags: Cell processor, Computational Complexity, Computer science, CUDA, Hybrid computing, MPI, nVidia, Presentation, Tesla

July 27, 2011 by hgpu

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 2011 by hgpu

Increasing the Accuracy of the Space-Sweeping Approach to Stereo Reconstruction, using Spherical Backprojection Surfaces

Xenophon Zabulis, Georgios Kordelas, Karsten Mueller, Aljoscha Smolic

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Tags: Algorithms, Computer vision, Image processing, Optimization

July 27, 2011 by hgpu

Real-Time Discriminative Background Subtraction

Li Cheng, Minglun Gong, Dale Schuurmans, Terry Caelli

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Source codes

Tags: Algorithms, ATI, ATI Mobility FireGL V5700, Computer vision, Image processing, Package, Real-time graphics

July 27, 2011 by hgpu

Dynamic Shader Generation for Flexible Multi-Volume Visualization

Friedemann Rossler, Ralf P. Botchen, Thomas Ertl

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Tags: Computer science, GLSL, Image generation, Medicine, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering, Visualization

July 27, 2011 by hgpu

A very fast census-based stereo matching implementation on a graphics processing unit

M. Weber, M. Humenberger, W. Kubinger

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 280, Stereo vision

July 27, 2011 by hgpu

Efficient Rasterization for Outdoor Radio Wave Propagation

Arne Schmitz, Tobias Rick, Thomas Karolski, Torsten Kuhlen, Leif Kobbelt

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra, Rasterization, Raytracing, Rendering

July 26, 2011 by hgpu

Scene independent real-time indirect illumination

Jeppe Revall Frisvad, Rasmus Revall Frisvad, Niels Jorgen Christensen, Peter Falster

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce FX 5950, Real-time graphics, Rendering

July 26, 2011 by hgpu

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

Interactive transparency rendering for large CAD models

Jianbing Huang, Michael B. Carter

Tags: Algorithms, CAD, Computer science, Rendering, Visualization

July 26, 2011 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Image representation by blob and its application in CT reconstruction from few projections

High-Speed Dense Stereo Via Directional Center-Biased Windows on Graphics Hardware

Experiences with hybrid clusters

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Increasing the Accuracy of the Space-Sweeping Approach to Stereo Reconstruction, using Spherical Backprojection Surfaces

Real-Time Discriminative Background Subtraction

Dynamic Shader Generation for Flexible Multi-Volume Visualization

A very fast census-based stereo matching implementation on a graphics processing unit

Efficient Rasterization for Outdoor Radio Wave Propagation

Scene independent real-time indirect illumination

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Interactive transparency rendering for large CAD models

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

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