high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia

Regular Expression Matching on Graphics Hardware for Intrusion Detection

Giorgos Vasiliadis, Michalis Polychronakis, Spiros Antonatos, Evangelos P. Markatos and Sotiris Ioannidis

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Security, String matching

February 5, 2011 by hgpu

Interactive water streams with sphere scan conversion

Rama Hoetzlein, Tobias Hollerer

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, Fluid simulation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

February 5, 2011 by hgpu

Software Pipelined Execution of Stream Programs on GPUs

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveeti

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

February 5, 2011 by hgpu

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs

Andreas Fidjeland, Etienne B. Roesch, Murray P. Shanahan, Wayne Luk

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, Package, Tesla C1060

February 5, 2011 by hgpu

Model-driven autotuning of sparse matrix-vector multiply on GPUs

Jee W. Choi, Amik Singh, Richard W. Vuduc

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix, Tesla C1060, Tesla C870, Tesla T10P

February 5, 2011 by hgpu

Real-Time Face Pose Estimation from Single Range Images

Michael D. Breitenstein, Daniel Kuettel, Thibaut Weise, Luc van Gool, and Hanspeter Pfister

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

February 5, 2011 by hgpu

QR decomposition on GPUs

Andrew Kerr, Dan Campbell, Mark Richards

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, Matrix decomposition, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280

February 5, 2011 by hgpu

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Grand Roman Joldes, Adam Wittek, Mathieu Couton, Simon K. Warfield and Karol Miller

View

Download (PDF)

Tags: CUDA, Finite element method, Image processing, Image registration, Medicine, MRI, nVidia

February 5, 2011 by hgpu

Pixel-Exact Rendering of Spacetime Finite Element Solutions

Yuan Zhou, Michael Garland, Robert Haber

View

Download (PDF)

Tags: Computer science, Finite element method, Image generation, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 5, 2011 by hgpu

Accelerating total variation regularization for matrix-valued images on GPUs

Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 5600

February 4, 2011 by hgpu

Dispersion Simulation and Visualization For Urban Security

Arie E. Kaufman, Feng Qiu, Haik Lorenz, Jianning Wang, Suzanne Yoakum-Stover, Arie Kaufman, Klaus Mueller

View

Download (PDF)

Tags: Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Visualization

February 4, 2011 by hgpu

Depth Enhanced Panoramas

Gleb Bahmutov, Voicu Popescu, Elisha Sacks

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 3000, OpenGL, Visualization

February 4, 2011 by hgpu

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

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

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

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

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

* * *

high performance computing on graphics processing units: hgpu.org

Regular Expression Matching on Graphics Hardware for Intrusion Detection

Interactive water streams with sphere scan conversion

Software Pipelined Execution of Stream Programs on GPUs

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs

Model-driven autotuning of sparse matrix-vector multiply on GPUs

Real-Time Face Pose Estimation from Single Range Images

QR decomposition on GPUs

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Pixel-Exact Rendering of Spacetime Finite Element Solutions

Accelerating total variation regularization for matrix-valued images on GPUs

Dispersion Simulation and Visualization For Urban Security

Depth Enhanced Panoramas

Recent source codes

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

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

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

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

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

Most viewed papers (last 30 days)