high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

A GPU-based iterated tabu search for solving the quadratic 3-dimensional assignment problem

The Van Luong, Lakhdar Loukil, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, Search

May 11, 2011 by hgpu

Optimized GPU Framework for Speckle Reduction Using Histogram Matching and Region Growing

Dan Shi, Xiaoying Li, D.C. Liu

Tags: Image processing, Medicine, Ultrasound

May 11, 2011 by hgpu

Fast GPU implementation of large scale dictionary and sparse representation based vision problems

Pradeep Nagesh, Rahul Gowda, Baoxin Li

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9800 GT

May 11, 2011 by hgpu

Real-Time Simulation and Rendering of 3D Smoke on GPU Programme

Chen Ge, Yin Xue, Li Yunfei

Tags: 3D Graphics and Realism, Image processing, Navier-Stokes equations, NSEs, Rendering

May 11, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 2011 by hgpu

Fast JND-Based Video Carving With GPU Acceleration for Real-Time Video Retargeting

Chen-Kuo Chiang, Shu-Fan Wang, Yi-Ling Chen, Shang-Hong Lai

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 8800 GT

May 11, 2011 by hgpu

Differential evolution algorithm on the GPU with C-CUDA

L.P. de Veronese, R.A. Krohling

Tags: Algorithms, Computer science, CUDA, Differential evolution, Evolutionary Computations, nVidia

May 11, 2011 by hgpu

Whole-function vectorization

Ralf Karrenberg, Sebastian Hack

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Tags: Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Tianji Wu, Di Wu, Yu Wang, Xiaorui Zhang, Hong Luo, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI Radeon HD 5870, Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Raul Cabido, Antonio Montemayor, Juan Pantrigo

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

May 11, 2011 by hgpu

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 by hgpu

The GPU on the simulation of cellular computing models

Jose Cecilia, Jose Garcia, Gines Guerrero, Miguel Martinez-del-Amor, Mario Perez-Jimenez, Manuel Ujaldon

Tags: Computer science, Membrane computing, nVidia, P systems, SAT, Tesla S2050

May 10, 2011 by hgpu

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

BoltzGen:Toward Universal Binder Design

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

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

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high performance computing on graphics processing units: hgpu.org

Applications

A GPU-based iterated tabu search for solving the quadratic 3-dimensional assignment problem

Optimized GPU Framework for Speckle Reduction Using Histogram Matching and Region Growing

Fast GPU implementation of large scale dictionary and sparse representation based vision problems

Real-Time Simulation and Rendering of 3D Smoke on GPU Programme

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Fast JND-Based Video Carving With GPU Acceleration for Real-Time Video Retargeting

Differential evolution algorithm on the GPU with C-CUDA

Whole-function vectorization

Gemma in April: A matrix-like parallel programming architecture on OpenCL

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

The GPU on the simulation of cellular computing models

Recent source codes

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

BoltzGen:Toward Universal Binder Design

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

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

Most viewed papers (last 30 days)