high performance computing on graphics processing units: hgpu.org

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GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Youngsok Kim, Jaewon Lee, Jae-Eon Jo, Jangwoo Kim

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Tags: Computer science, GPGPU-sim, Memory model, nVidia, Tesla C2050

April 13, 2014 by hgpu

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Jan Sikorski

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Tags: CUDA, Field equations, nVidia, nVidia GeForce GT 610, Physics, Thesis

April 13, 2014 by hgpu

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

V. Guerra, C. Quintana, J. Rufo, J. Rabadan, R. Perez-Jimenez

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenMP, Raytracing, Tesla M2050

April 12, 2014 by hgpu

MAP-based Brain Tissue Segmentation using Manifold Learning and Hierarchical Max-Flow regularization

Martin Rajchl, John S.H. Baxter, A. Jonathan McLeod, Jing Yuan, Wu Qiu, Terry M. Peters, James A. White, Ali R. Khan

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Tags: CUDA, Image processing, Medicine, nVidia, Self-organizing map, Tesla C2070

April 12, 2014 by hgpu

Fluid simulation with SIMPLE method using graphic processors

Ivan Devic

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, Tesla S1070, Thesis

April 12, 2014 by hgpu

A Language for Nested Data Parallel Design-space Exploration on GPUs

Bo Joel Svensson, Mary Sheeran, Ryan R. Newton

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Tags: Computer science, CUDA, Data parallelism, Haskell, nVidia, nVidia GeForce GTX 680, Tesla C2070

April 11, 2014 by hgpu

A New method to Design Accurate Images with Tree Structural Transformations

Neelima Gogineni, C Ganga Bhavani, V S Giridhar Akula

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Tags: Algorithms, CUDA, Image processing, Image recognition, nVidia

April 11, 2014 by hgpu

Real-time Simulation of Foam and Sprays Based on the Weber Number

Lihui Zhang, Chao Zhang, Ying Li, Mengya Lv, Yong Tang

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Tags: 3D Graphics and Realism, Cg, Computer science, Fluid simulation, nVidia, nVidia GeForce GT 630, OpenGL

April 11, 2014 by hgpu

Visualizing the Radiation of the Kelvin-Helmholtz Instability

Axel Huebl, David Pugmire, Felix Schmitt, Richard Pausch, Michael Bussmann

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Tags: CUDA, nVidia, Package, Particle-in-cell methods, Physics, Plasma physics, Visualization

April 11, 2014 by hgpu

The GENGA Code: Gravitational Encounters in N-body simulations with GPU Acceleration

Simon L. Grimm, Joachim G. Stadel

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, Gravitation, N-body simulation, nVidia, nVidia GeForce GTX 680, Package

April 11, 2014 by hgpu

Parallel face Detection and Recognition on GPU

Shivashankar J. Bhutekar, Arati K. Manjaramkar

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 770

April 9, 2014 by hgpu

Real-time and Realistic Simulation of Large-scale Deep Ocean Wave Foams Based on GPU

Lihui Zhang, Cuiying Guo, Yong Tang, Mengya Lv, Ying Li, Jing Zhao

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Tags: 3D Graphics and Realism, Computer science, CUDA, FFT, Fluid simulation, nVidia, nVidia GeForce GT 630

April 9, 2014 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

GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

MAP-based Brain Tissue Segmentation using Manifold Learning and Hierarchical Max-Flow regularization

Fluid simulation with SIMPLE method using graphic processors

A Language for Nested Data Parallel Design-space Exploration on GPUs

A New method to Design Accurate Images with Tree Structural Transformations

Real-time Simulation of Foam and Sprays Based on the Weber Number

Visualizing the Radiation of the Kelvin-Helmholtz Instability

The GENGA Code: Gravitational Encounters in N-body simulations with GPU Acceleration

Parallel face Detection and Recognition on GPU

Real-time and Realistic Simulation of Large-scale Deep Ocean Wave Foams Based on GPU

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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