high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

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

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

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

An adaptive performance modeling tool for GPU architectures

Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. Patel, William D. Gropp, Wen mei

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Tags: Analytical model, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance

October 28, 2010 by hgpu

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Lukasz Ligowski, Witold Rudnicki

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Sequence alignment, Smith-Waterman algorithm

October 28, 2010 by hgpu

Acceleration technique for volume rendering using 2D texture based ray plane casting on GPU

Kyung-Seok Oh, Chang-Sung Jeong

Tags: Computer science, Raytracing, Rendering, Visualization

October 28, 2010 by hgpu

Visualization and GPU-accelerated simulation of medical ultrasound from CT images

Oliver Kutter, Ramtin Shams, Nassir Navab

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Tags: ATI, ATI Radeon 1950 PRO, Computer science, GLSL, Medicine, nVidia, nVidia Quadro FX 3600 M, nVidia Quadro FX 5600, OpenGL, Ultrasound, Visualization

October 28, 2010 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

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

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

CUDA cuts: Fast graph cuts on the GPU

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

An adaptive performance modeling tool for GPU architectures

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Acceleration technique for volume rendering using 2D texture based ray plane casting on GPU

Visualization and GPU-accelerated simulation of medical ultrasound from CT images

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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