high performance computing on graphics processing units: hgpu.org

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High-precision Monte Carlo study of the three-dimensional XY model on GPU

Ti-Yen Lan, Yun-Da Hsieh, Ying-Jer Kao

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Tags: Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla M2090

November 6, 2012 by hgpu

CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs

Shane Cook

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Tags: Book, Computer science, CUDA, nVidia, Tutorial

November 5, 2012 by hgpu

Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures

Claus Braun, Stefan Holst, Hans-Joachim Wunderlich, Juan Manuel Castillo, Joachim Gross

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Tags: CUDA, Hybrid computing, Molecular simulation, nVidia, Physics, Tesla, Thermodynamics

November 5, 2012 by hgpu

Load-Balanced Multi-GPU Ambient Occlusion for Direct Volume Rendering

Alexandre Ancel, Jean-Michel Dischler, Catherine Mongenet

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Tags: Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 295, OpenMP, Rendering, Tesla C2050, Visualization

November 5, 2012 by hgpu

Production Level CFD Code Acceleration for Hybrid Many-Core Architectures

Austen C. Duffy, Dana P. Hammond, Eric J. Nielsen

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480

November 1, 2012 by hgpu

DL: A data layout transformation system for heterogeneous computing

I-Jui Sung, Geng Daniel Liu, Wen-Mei W. Hwu

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Package

November 1, 2012 by hgpu

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Charis Harley

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Tags: Algorithms, CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, Partial differential equations, PDEs

November 1, 2012 by hgpu

An Intermediate Library for Multi-GPUs Computing Skeletons

Le Duc Tung, Nguyen Huu Duc, Pham Tuan Anh, Ngo Huy Hoang, Nguyen Minh Thap

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Tags: Code generation, Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 295

November 1, 2012 by hgpu

Efficient Pattern-Based Time Series Classification on GPU

Kai-Wei Chang, Biplab Deka, Wen-Mei W. Hwu, Dan Roth

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

October 31, 2012 by hgpu

A Contour-Guided Deformable Image Registration Algorithm for Adaptive Radiotherapy

Xuejun Gu, Bin Dong, Jing Wang, John Yordy, Loren Mell, Xun Jia, Steve B. Jiang

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, Radiotherapy, Tesla C1060

October 31, 2012 by hgpu

GPU implementation of a Landau gauge fixing algorithm

Nuno Cardoso, Paulo J. Silva, Orlando Oliveira, Pedro Bicudo

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Tags: CUDA, High Energy Physics - Lattice, nVidia, Physics, Tesla C2070

October 31, 2012 by hgpu

Acceleration of Distance-to-Default with GPU

Xin Lou

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Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 460, Thesis

October 30, 2012 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

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high performance computing on graphics processing units: hgpu.org

High-precision Monte Carlo study of the three-dimensional XY model on GPU

CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs

Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures

Load-Balanced Multi-GPU Ambient Occlusion for Direct Volume Rendering

Production Level CFD Code Acceleration for Hybrid Many-Core Architectures

DL: A data layout transformation system for heterogeneous computing

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

An Intermediate Library for Multi-GPUs Computing Skeletons

Efficient Pattern-Based Time Series Classification on GPU

A Contour-Guided Deformable Image Registration Algorithm for Adaptive Radiotherapy

GPU implementation of a Landau gauge fixing algorithm

Acceleration of Distance-to-Default with GPU

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

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