high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Multi scale block histogram of template feature for pedestrian detection

Shaopeng Tang, S. Goto

Tags: Computer science, Computer vision, Image recognition

July 29, 2011 by hgpu

A collision detection algorithm using adaptive particle sensor

Thiti Rungcharoenpaisal, Pizzanu Kanongchaiyos

Tags: Algorithms, Collision detection, Computer science

July 28, 2011 by hgpu

Iterative layer-based raytracing on CUDA

A. Segovia, Xiaoming Li, Guang Gao

Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, Raytracing

July 28, 2011 by hgpu

Real-time Semi-Global Matching on the CPU

Stefan K. Gehrig, Clemens Rabe

Tags: Algorithms, Computer science, Computer vision, FPGA, nVidia, nVidia GeForce 8800 Ultra, Performance, Stereo vision

July 28, 2011 by hgpu

View-Dependent Real-Time Rendering of Large Outdoor Scenes

Xiangkun Zhao, Fengxia Li, Yufeng Chen, Shouyi Zhan

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Tags: Clustering, Computer science, Hierarchical clustering, nVidia, nVidia GeForce 8600 GT, Real-time graphics, Rendering

July 28, 2011 by hgpu

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

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Multi scale block histogram of template feature for pedestrian detection

A collision detection algorithm using adaptive particle sensor

Iterative layer-based raytracing on CUDA

Real-time Semi-Global Matching on the CPU

View-Dependent Real-Time Rendering of Large Outdoor Scenes

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

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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