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Improving GPU Performance via Large Warps and Two-Level Warp Scheduling

Veynu Narasiman, Chang Joo Lee, Michael Shebanow, Rustam Miftakhutdinov, Onur Mutlu, Yale N. Patt

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Tags: Computer science, CUDA, nVidia, Performance, Warp level parallelism

November 11, 2011 by hgpu

An Interest Point Based Illumination Condition Matching Approach to Photometric Registration Within Augmented Reality Worlds

Mark Bingham

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 295, Thesis, Virtual reality

November 11, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 2011 by hgpu

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

Helmar Burkhart, Matthias Christen, Max Rietmann, Madan Sathe, Olaf Schenk

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenMP, Tesla C2050

November 10, 2011 by hgpu

Generation of planar radiographs from 3D anatomical models using the GPU

Andre dos Santos Cardoso

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GT 240, Optimization, Thesis

November 10, 2011 by hgpu

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

Adelino R. Ferreira da Silva

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Tags: Bayesian, Computer science, CUDA, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce 8400 M GS, Package

November 10, 2011 by hgpu

Fast Hair Simulation and Rendering Using CUDA and OpenGL

Steve Lesser

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenGL, Rendering

November 10, 2011 by hgpu

GPU Cuda Performance on Two-Dimensional and Three-Dimensional VAWT Vortex Models

Steven Hard, Jay Wilhel, Franz A. Pert, James E. Smit

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Tags: Algorithms, Analytical model, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285

November 10, 2011 by hgpu

Understanding the impact of CUDA tuning techniques for Fermi

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

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

November 10, 2011 by hgpu

Exploring Applications in CUDA

Michael Kubacki

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Tags: Computer science, CUDA, nVidia

November 10, 2011 by hgpu

GPU Acceleration of Matrix-based Methods in Computational Electromagnetics

Evan Lezar

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Tags: CUDA, Electrodynamics, FEM, Finite element method, Linear Algebra, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 465, OpenCL, Tesla M1060, Thesis

November 10, 2011 by hgpu

A CPU-GPU Hybrid Runtime for the Aeminium Language

Alcides Fonseca

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Tags: Compilers, Computer science, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Package, Sorting, Thesis

November 10, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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high performance computing on graphics processing units: hgpu.org

Applications

Improving GPU Performance via Large Warps and Two-Level Warp Scheduling

An Interest Point Based Illumination Condition Matching Approach to Photometric Registration Within Augmented Reality Worlds

Synthetic Aperture Beamformation using the GPU

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

Generation of planar radiographs from 3D anatomical models using the GPU

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

Fast Hair Simulation and Rendering Using CUDA and OpenGL

GPU Cuda Performance on Two-Dimensional and Three-Dimensional VAWT Vortex Models

Understanding the impact of CUDA tuning techniques for Fermi

Exploring Applications in CUDA

GPU Acceleration of Matrix-based Methods in Computational Electromagnetics

A CPU-GPU Hybrid Runtime for the Aeminium Language

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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