high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Current performance gains from utilizing the GPU or the ASIC MDGRAPE-3 within an enhanced Poisson Boltzmann approach

Tetsu Narumi, Kenji Yasuoka, Makoto Taiji, Siegfried Hofinger

Tags: ASIC, Chemistry, Computational chemistry, MDGRAPE, Poisson Boltzmann, Solvent effects

October 29, 2010 by hgpu

GPU-based image manipulation and enhancement techniques for dynamic volumetric medical image visualization

Qi Zhang, R. Eagleson, T. M. Peters

Tags: Image processing, Medicine, Visualization

October 29, 2010 by hgpu

An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness

Sunpyo Hong, Hyesoon Kim

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Tags: Analytical model, Computer science, CUDA, Memory level parallelism, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia Quadro FX 5600, Warp level parallelism

October 29, 2010 by hgpu

GPU-based Video Feature Tracking and Matching

Sudipta N. Sinha, Jan-michael Frahm, Marc Pollefeys, Yakup Genc

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Source codes

Tags: Computer science, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Package, SIFT

October 29, 2010 by hgpu

GPU acceleration of cutoff pair potentials for molecular modeling applications

Christopher I. Rodrigues, David J. Hardy, John E. Stone, Klaus Schulten, Wen Mei

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Tags: Algorithms, Biology, Chemistry, CUDA, Medicine, Molecular dynamics, nVidia, Tesla C870

October 28, 2010 by hgpu

Real-time eye blink detection with GPU-based SIFT tracking

Marc Lalonde, David Byrns, Langis Gagnon, Normand Teasdale, Denis Laurendeau

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Tags: Computer science, Image processing, SIFT

October 28, 2010 by hgpu

AUTO-GC: Automatic translation of data mining applications to GPU clusters

Wenjing Ma, Gagan Agrawal

Tags: Code generation, Computer science, CUDA, GPU cluster, nVidia

October 28, 2010 by hgpu

GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration

G. C. Sharp, N. Kandasamy, H. Singh, M. Folkert

Tags: Brook, Computed radiography, Computer science, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

October 28, 2010 by hgpu

GPU Gems: Programming Techniques, Tips and Tricks for Real-Time Graphics

Randima Fernando

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

October 28, 2010 by hgpu

CUDA cuts: Fast graph cuts on the GPU

Vibhav Vineet, P. J. Narayanan

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Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

October 28, 2010 by hgpu

Browsing a Large Collection of Community Photos Based on Similarity on GPU

Grant Strong, Minglun Gong

Tags: Computer science, Image processing

October 28, 2010 by hgpu

GPU packet classification using OpenCL: a consideration of viable classification methods

Alastair Nottingham, Barry Irwin

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Tags: Algorithms, Computer science, nVidia, OpenCL

October 28, 2010 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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high performance computing on graphics processing units: hgpu.org

Applications

Current performance gains from utilizing the GPU or the ASIC MDGRAPE-3 within an enhanced Poisson Boltzmann approach

GPU-based image manipulation and enhancement techniques for dynamic volumetric medical image visualization

An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness

GPU-based Video Feature Tracking and Matching

GPU acceleration of cutoff pair potentials for molecular modeling applications

Real-time eye blink detection with GPU-based SIFT tracking

AUTO-GC: Automatic translation of data mining applications to GPU clusters

GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration

GPU Gems: Programming Techniques, Tips and Tricks for Real-Time Graphics

CUDA cuts: Fast graph cuts on the GPU

Browsing a Large Collection of Community Photos Based on Similarity on GPU

GPU packet classification using OpenCL: a consideration of viable classification methods

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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