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Effective Mapping of Grammatical Evolution to CUDA Hardware Model

Petr Pospichal

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

December 7, 2011 by hgpu

Efficient Two-Level Preconditionined Conjugate Gradient Method on the GPU

Rohit Gupta, Martin B. van Gijzen, Kees Vuik

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Tags: Algorithms, Conjugate gradient solver, CUDA, Mathematics, nVidia, Tesla C2070

December 7, 2011 by hgpu

Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, Peter Zajac, Stefan Turek

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Tags: Benchmarking, CUDA, Differential equations, FEM, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

December 7, 2011 by hgpu

Automatic Fusions of CUDA-GPU Kernels for Parallel Map

Jan Fousek, Jiri Filipovic, Matus Madzin

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

December 6, 2011 by hgpu

Multiprocessing Acceleration of H.264/AVC Motion Estimation Full Search Algorithm under CUDA Architecture

Eduarda R. Monteiro, Bruno B. Vizzotto, Claudio M. Diniz, Bruno Zatt, Sergio Bampi

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 480

December 6, 2011 by hgpu

DTAM: Dense tracking and mapping in real-time

Richard A. Newcombe, Steven J. Lovegrove, Andrew J. Davison

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Tags: Algorithms, Computer science, Computer vision, Image alignment, nVidia, nVidia GeForce GTX 480

December 6, 2011 by hgpu

Massively Parallel Identification of Intersection Points for GPGPU Ray Tracing

Alexandre S. Nery, Nadia Nedjah, Felipe M. G. Franca, Lech Jozwiak

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 465, Raytracing

December 6, 2011 by hgpu

Simulation of pollutant transport in shallow water on a CUDA architecture

M. Vinas, J. Lobeiras, B.B. Fraguela, M. Arenaz, M. Amor, R. Doallo

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Tags: CUDA, Earth and Space Sciences, Finite volume method, Fluid dynamics, nVidia, nVidia GeForce GTX 295, Tesla S2050

December 6, 2011 by hgpu

GPU-Based Liquid Crystal Display Processing Platform

Song Peng

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Tags: Algorithms, CUDA, Image generation, Image processing, nVidia, nVidia Quadro FX 580, Thesis

December 6, 2011 by hgpu

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Shubham Gupta, M.Rajasekhara Babu

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GT 210 M, OpenMP, Performance, String matching

December 6, 2011 by hgpu

Real-time Terrain Modeling using CPU-GPU Coupled Computation

Adrien Bernhardt, Andre Maximo, Luiz Velho, Houssam Hnaidi, Marie-Paule Cani

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Tags: Computer science, nVidia, nVidia GeForce GTS 480, OpenGL, Real-time graphics, Rendering, Tessellation

December 6, 2011 by hgpu

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

Johannes Habich, Christian Feichtinger, Harald Kostler, Georg Hager, Gerhard Wellein

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Tags: Algorithms, ATI, ATI Radeon HD 6970, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenCL, Optimization, Performance, Tesla C1060, Tesla C2070

December 6, 2011 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

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high performance computing on graphics processing units: hgpu.org

Effective Mapping of Grammatical Evolution to CUDA Hardware Model

Efficient Two-Level Preconditionined Conjugate Gradient Method on the GPU

Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers

Automatic Fusions of CUDA-GPU Kernels for Parallel Map

Multiprocessing Acceleration of H.264/AVC Motion Estimation Full Search Algorithm under CUDA Architecture

DTAM: Dense tracking and mapping in real-time

Massively Parallel Identification of Intersection Points for GPGPU Ray Tracing

Simulation of pollutant transport in shallow water on a CUDA architecture

GPU-Based Liquid Crystal Display Processing Platform

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Real-time Terrain Modeling using CPU-GPU Coupled Computation

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

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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