high performance computing on graphics processing units: hgpu.org

Programming

Random number generators for massively parallel simulations on GPU

Markus Manssen, Martin Weigel, Alexander K. Hartmann

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Lattice, Molecular dynamics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics, Pseudo-random number generators, Review, Statistical Mechanics

May 1, 2012 by hgpu

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Rafael Ponce, Miguel Cardenas-Montes, Juan Jose Rodriguez-Vazquez, Eusebio Sanchez, Ignacio Sevilla

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Tags: Algorithms, Astrophysics, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia GeForce GTX 295, Package, Tesla C1060, Tesla C2050

May 1, 2012 by hgpu

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

Lev Alexandrovich Neiman

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2075

April 28, 2012 by hgpu

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh

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Tags: Algorithms, CUDA, Image processing, Linear Algebra, nVidia, nVidia GeForce GTX 470, Optimization

April 28, 2012 by hgpu

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480, Package, Tomography

April 28, 2012 by hgpu

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization, Performance, Tesla C2070

April 28, 2012 by hgpu

Real-time particle simulation of fluids

Zsolt Horvath

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GT 540 M, Particle simulation

April 27, 2012 by hgpu

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

Jean-Patrick Roccia, Mathias Paulin, Christophe Coustet

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 560, Raytracing

April 27, 2012 by hgpu

The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments

Mohammed F. Hadi

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla C2050

April 27, 2012 by hgpu

Matrix Multiplication with CUDA – A basic introduction to the CUDA programming model

Robert Hochberg

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GT 330 M, Tesla C1060

April 27, 2012 by hgpu

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

Jeswin Godwin, Justin Holewinski, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Partial differential equations, PDEs, Sparse matrix, Tesla C2050

April 25, 2012 by hgpu

Radio Astronomy Beam Forming on Many-Core Architectures

Alessio Sclocco, Ana Lucia Varbanescu, Jan David Mol, Rob V. van Nieuwpoort

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Tags: Astrophysics, ATI, ATI Radeon HD 6970, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Signal processing

April 25, 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

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high performance computing on graphics processing units: hgpu.org

Programming

Random number generators for massively parallel simulations on GPU

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Real-time particle simulation of fluids

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments

Matrix Multiplication with CUDA – A basic introduction to the CUDA programming model

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

Radio Astronomy Beam Forming on Many-Core Architectures

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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