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Efficient planar features matching for robot localization using GPU

Baptiste Charmette, Eric Royer, Frederic Chausse

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia Quadro FX 770 M, SIFT

March 20, 2011 by hgpu

GPU-based Dynamic Tubular Grids for Sparse Volume Rendering

David Mayerich, John Keyser

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Tags: Algorithms, Computer science, Image processing, Rendering

March 20, 2011 by hgpu

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Tamas K. Lengyel, James Gedarovich, Antonio Cusano, Thomas J. Peters

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT

March 20, 2011 by hgpu

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

David Barrie Thomas, Lee Howes, Wayne Luk

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Pseudo-random number generators

March 20, 2011 by hgpu

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Xiang Tian, Khaled Benkrid

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Pseudo-random number generators

March 20, 2011 by hgpu

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

A El Zein, E McCreath, Alistair Rendell, Alex Smola

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce 8800 GTX, Presentation, Sparse matrix

March 20, 2011 by hgpu

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Mark Van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse

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Tags: Computer science, CUDA, CULA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 295, Tesla C1060

March 20, 2011 by hgpu

Joint Forces: From Multithreaded Programming to GPU Computing

Frank Feinbube, Peter Troger, Andreas Polze

Tags: Computer science, Optimization, Performance

March 20, 2011 by hgpu

Mean Shift Parallel Tracking on GPU

Peihua Li, Lijuan Xiao

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Video tracking

March 19, 2011 by hgpu

Method for simulation of coastal terrain on GPU

Jun Chen, Peng Sheng, Zhen He

Tags: 3D Graphics and Realism, Computer science, Rendering

March 19, 2011 by hgpu

Exploring utilisation of GPU for database applications

Slawomir Walkowiak, Konrad Wawruch, Marita Nowotka, Lukasz Ligowski, Witold Rudnicki

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Tags: Computer science, CUDA, Databases, nVidia, Tesla S1070

March 19, 2011 by hgpu

Efficient and Quality Contouring Algorithms on the GPU

L. Schmitz, L. F. Scheidegger, D. K. Osmari, C. A. Dietrich, J. L. D. Comba

Tags: Algorithms, Computer science, Image generation

March 19, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient planar features matching for robot localization using GPU

GPU-based Dynamic Tubular Grids for Sparse Volume Rendering

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Joint Forces: From Multithreaded Programming to GPU Computing

Mean Shift Parallel Tracking on GPU

Method for simulation of coastal terrain on GPU

Exploring utilisation of GPU for database applications

Efficient and Quality Contouring Algorithms on the GPU

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

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