high performance computing on graphics processing units: hgpu.org

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Scan Test Power Simulation on GPGPUs

S. Holst, E. Schneider, H.-J. Wunderlich

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Tags: Computer science, CUDA, Energy-efficient computing, Filtering, nVidia

January 18, 2013 by hgpu

Fast and Robust Linear Motion Deblurring

Martin Welk, Patrik Raudaschl, Thomas Schwarzbauer, Martin Erler, Martin Lauter

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 260

December 12, 2012 by hgpu

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Joel Ek

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Tags: Computer science, Filtering, OpenCL, Rasterization, Rendering, Thesis

December 5, 2012 by hgpu

Location-based Matching in Publish/Subscribe Revisited

Mohammad Sadoghi, Hans-Arno Jacobsen

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 460, Performance

November 25, 2012 by hgpu

BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization

A.F. van Dixhoorn, J. Milles, B. van Lew, C.P. Botha

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Tags: Computer science, Filtering, Image generation, MRI, OpenCL, OpenGL, Package, Rendering, Visualization

October 26, 2012 by hgpu

Research for Chinese Spam Filtering Based on GPU

Yong Liu, Zongshui Wang, Qinde Zhao, Zhengwen Lai

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 550 Ti, Security

October 24, 2012 by hgpu

A Novel GPU Implementation of Eigen Analysis for Risk Management

Mustafa U. Torun, Ali N. Akansu

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Tags: CUDA, Filtering, Finance, nVidia, Risk Management, Tesla C2070

July 29, 2012 by hgpu

Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs

Jianting Zhang, Simin You

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Tags: Computer science, CUDA, Databases, Filtering, nVidia, nVidia Quadro FX 6000

July 27, 2012 by hgpu

High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, Filtering, Nearest neighbour, nVidia, nVidia Quadro FX 6000

July 27, 2012 by hgpu

Acceleration of bilateral filtering algorithm for manycore and multicore architectures

Dinesh Agarwal, Sami Wilf, Abinashi Dhungel, Sushil K. Prasad

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 280, Optimization, Package

July 2, 2012 by hgpu

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman Amarasinghe, Fredo Durand

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Tesla C2070

June 8, 2012 by hgpu

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

Enrico Gobbetti, Jose Antonio Iglesias Guitian, Fabio Marton

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Tags: 3D Graphics and Realism, Algorithms, Compression, Computer science, Filtering, Image generation, nVidia, nVidia GeForce GTX 560, OpenGL, Rendering

May 29, 2012 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

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high performance computing on graphics processing units: hgpu.org

Scan Test Power Simulation on GPGPUs

Fast and Robust Linear Motion Deblurring

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Location-based Matching in Publish/Subscribe Revisited

BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization

Research for Chinese Spam Filtering Based on GPU

A Novel GPU Implementation of Eigen Analysis for Risk Management

Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs

High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

Acceleration of bilateral filtering algorithm for manycore and multicore architectures

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

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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