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Parallel Computation for Discrete Orthogonal Moments of Images Using Graphic Processing Unit

Dongfeng Xu, Yehan Zheng, Yuefang Gao, Dong Wang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9600 GSO

February 28, 2012 by hgpu

GPU Computing for Machine Learning Algorithms

Mauro Garofalo

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GT 540 M, Thesis

February 28, 2012 by hgpu

A GPU-based parallel algorithm for time series pattern mining

Tao Sun, Jian Sha, Lin Feng

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9800 GTX

February 28, 2012 by hgpu

CUDA-enabled LBM Flow Simulation around Three Equilateral Cylinders using GPU Computing Processor

Muhammad Shafiqul Alam, Liang Cheng

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia

February 27, 2012 by hgpu

An Energy Consumption Model for GPU Computing at Instruction Level

Haifeng Wang, Qingkui Chen

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Tags: Code generation, Computer science, Energy-efficient computing, nVidia, nVidia GeForce GTX 280, PTX

February 27, 2012 by hgpu

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

Yechen Gui, Guijuan Zhang

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Tags: Algorithms, CUDA, Laplace and Poisson equation, nVidia, Optimization, Physics, Poisson equation, Sparse matrix

February 27, 2012 by hgpu

Cooperative Heterogeneous Computing for Parallel Processing on CPU/GPU Hybrids

Changmin Lee, Won W. Ro, Jean-Luc Gaudiot

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9400 GT

February 26, 2012 by hgpu

Fast Multipole Methods and High Performance Computing

Cristopher Ratkevich Cecka

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Source codes

Tags: CUDA, Electrodynamics, Fast multipole method, nVidia, Package, Tesla C1060, Tesla C2050, Thesis

February 26, 2012 by hgpu

Vortex particle method and parallel computing

Andrzej Kosior, Henryk Kudela

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 480, Poisson equation

February 26, 2012 by hgpu

GPU Accelerated Molecular Surface Computing

Byungjoo Kim, Ku-Jin Kim, Joon-Kyung Seong

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Tags: Biochemistry, Chemistry, CUDA, KD-tree, Molecular surface, nVidia, nVidia GeForce GTX 590

February 26, 2012 by hgpu

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Sorting

February 24, 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

Parallel Computation for Discrete Orthogonal Moments of Images Using Graphic Processing Unit

GPU Computing for Machine Learning Algorithms

A GPU-based parallel algorithm for time series pattern mining

CUDA-enabled LBM Flow Simulation around Three Equilateral Cylinders using GPU Computing Processor

An Energy Consumption Model for GPU Computing at Instruction Level

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

Cooperative Heterogeneous Computing for Parallel Processing on CPU/GPU Hybrids

Fast Multipole Methods and High Performance Computing

Vortex particle method and parallel computing

GPU Accelerated Molecular Surface Computing

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

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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