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Performance Analysis and Optimization of a Distributed Processing Framework for Data Mining Accelerated with Graphics Processing Units

Edgar Isaac Hiroshi Leon Saiki

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Tags: Algorithms, Computer science, CUDA, Data mining, MapReduce, nVidia, nVidia GeForce GTX Titan, Tesla K20, Thesis

February 1, 2015 by hgpu

On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

Jimmy SJ. Ren, Li Xu

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Tags: CNN, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 780 Ti, Package

January 30, 2015 by hgpu

OpenCL Implementation of LiDAR Data Processing

Alexander Bussiere

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, nVidia, nVidia GeForce GT 740 M, OpenCL, Robotics, Thesis

January 30, 2015 by hgpu

Different Optimization Strategies and Performance Evaluation of Reduction on Multicore CUDA Architecture

Chhaya Patel

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

January 30, 2015 by hgpu

Accelerate micromagnetic simulations with GPU programming in MATLAB

Ru Zhu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 650 Ti, Package

January 30, 2015 by hgpu

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

Edoardo Paone

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Tags: Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia Quadro NVS 300, OpenCL, Thesis

January 30, 2015 by hgpu

maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs

Andrew Lavin

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Tags: Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 980, Package

January 28, 2015 by hgpu

Accelerating Polynomial Homotopy Continuation on a Graphics Processing Unit with Double Double and Quad Double Arithmetic

Jan Verschelde, Xiangcheng Yu

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Tags: Algorithms, Computer science, CUDA, Extended precision, Linear Algebra, Mathematical Software, Numerical Analysis, nVidia, Package, Tesla K20

January 28, 2015 by hgpu

GPU Programming – Speeding Up the 3D Surface Generator VESTA

B. R. Schlei

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Tags: Computed tomography, Computer science, CT, CUDA, Graphics, nVidia, nVidia GeForce GTX 750 Ti

January 28, 2015 by hgpu

On Longest Repeat Queries Using GPU

Yun Tian, Bojian Xu

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Tags: Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti

January 28, 2015 by hgpu

The GPU vs Phi Debate: Risk Analytics Using Many-Core Computing

Blesson Varghese

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Tags: Computational Engineering, Computer science, CUDA, Finance, Intel Xeon Phi, nVidia, Performance, Tesla C2075

January 28, 2015 by hgpu

Adjoint Lattice Boltzmann for Topology Optimization on multi-GPU architecture

Lukasz Laniewski-Wollk, Jacek Rokicki

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla M2090

January 26, 2015 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

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high performance computing on graphics processing units: hgpu.org

Performance Analysis and Optimization of a Distributed Processing Framework for Data Mining Accelerated with Graphics Processing Units

On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

OpenCL Implementation of LiDAR Data Processing

Different Optimization Strategies and Performance Evaluation of Reduction on Multicore CUDA Architecture

Accelerate micromagnetic simulations with GPU programming in MATLAB

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs

Accelerating Polynomial Homotopy Continuation on a Graphics Processing Unit with Double Double and Quad Double Arithmetic

GPU Programming – Speeding Up the 3D Surface Generator VESTA

On Longest Repeat Queries Using GPU

The GPU vs Phi Debate: Risk Analytics Using Many-Core Computing

Adjoint Lattice Boltzmann for Topology Optimization on multi-GPU architecture

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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