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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

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan

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Tags: Computer science, CUDA, FFT, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Optimization, Software Engineering, Tesla S1050

February 24, 2012 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

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

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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