high performance computing on graphics processing units: hgpu.org

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Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

Usman Dastgeer, Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 19, 2011 by hgpu

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 18, 2011 by hgpu

Parallelization of the x264 encoder using OpenCL

Erich Marth, Guillermo Marcus

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Tags: Computer science, H.264/AVC, OpenCL, Package, Video encoding

August 18, 2011 by hgpu

Regular Expression Matching and Operational Semantics

Asiri Rathnayake, Hayo Thielecke

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Tags: Computer science, CUDA, Logic in Computer Science, nVidia, Package

August 17, 2011 by hgpu

Equalizer: A Scalable Parallel Rendering Framework

Stefan Eilemann, Maxim Makhinya, Renato Pajarola

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Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce 7800 GTX, nVidia Quadro FX 4500, OpenGL, Package, Rendering, Visualization

August 15, 2011 by hgpu

Using the physics-based rendering toolkit for medical reconstruction

Steven Bergner, Eric Dagenais, Anna Celler, Torsten Moller

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Tags: Algorithms, Image reconstruction, Medicine, nVidia, nVidia GeForce 6600 GT, OpenGL, Package, Rendering, Tomography

August 12, 2011 by hgpu

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

Carlucio Santos Cordeiro, Luiz Chaimowicz

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Package, Real-time graphics, Rendering, Visualization

August 11, 2011 by hgpu

A simple and flexible volume rendering framework for graphics-hardware-based raycasting

Simon Stegmaier, Magnus Strengert, Thomas Klein, Thomas Ertl

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Tags: 3D Graphics and Realism, Benchmarking, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL, Package, Raytracing, Rendering

August 7, 2011 by hgpu

Ambient Occlusion and Edge Cueing for Enhancing Real Time Molecular Visualization

Marco Tarini, Paolo Cignoni, Claudio Montani

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Tags: ATI, ATI Radeon X1600, Computer science, Molecular modeling, Package, Real-time graphics, Rendering, Visualization

August 7, 2011 by hgpu

Accelerating wavelet-based video coding on graphics hardware using CUDA

Wladimir J. van der Laan, Jos B.T.M. Roerdink, Andrei C. Jalba

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Tags: Compression, CUDA, Discrete Wavelet Transform, Motion compensation, nVidia, nVidia GeForce GTX 280, Package, Signal processing

August 5, 2011 by hgpu

A Variant of Mersenne Twister Suitable for Graphic Processors

Mutsuo Saito

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 260, Package, Pseudo-random number generators

August 3, 2011 by hgpu

GPU accelerated Monte Carlo simulations of lattice spin models

Martin Weigel, Taras Yavors'kii

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics, Tesla C1060

July 28, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Parallelization of the x264 encoder using OpenCL

Regular Expression Matching and Operational Semantics

Equalizer: A Scalable Parallel Rendering Framework

Using the physics-based rendering toolkit for medical reconstruction

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

A simple and flexible volume rendering framework for graphics-hardware-based raycasting

Ambient Occlusion and Edge Cueing for Enhancing Real Time Molecular Visualization

Accelerating wavelet-based video coding on graphics hardware using CUDA

A Variant of Mersenne Twister Suitable for Graphic Processors

GPU accelerated Monte Carlo simulations of lattice spin models

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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