high performance computing on graphics processing units: hgpu.org

Programming

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Cortical architectures on a GPGPU

Andrew Nere, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Programming techniques, Tesla C1060

February 2, 2011 by hgpu

Adaptive enhancement and noise reduction in very low light-level video

Henrik Malm, Magnus Oskarsson, Eric Warrant, Petrik Clarberg, Jon Hasselgren, Calle Lejdfors

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Tags: Algorithms, Filtering, Image processing, nVidia, nVidia GeForce 8800

February 2, 2011 by hgpu

Delta-stepping: a parallelizable shortest path algorithm

U. Meyer, P. Sanders

Tags: Algorithms, Computer science, Graph theory, Path problems

February 2, 2011 by hgpu

High-Performance Neural Networks for Visual Object Classification

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

February 2, 2011 by hgpu

Modeling and generating complex motion blur for real-time tracking

Christopher Mei, Ian Reid

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, Video tracking

February 1, 2011 by hgpu

Lazy Solid Texture Synthesis

Yue Dong, Sylvain Lefebvre, Xin Tong, George Drettakis

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Rendering

February 1, 2011 by hgpu

SPH on GPU with CUDA

Alexis Herault, Giuseppe Bilotta, Robert A. Dalrymple

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Package, Particle simulation, Tesla C1060

February 1, 2011 by hgpu

Constraint Fluids on GPU

Martin Nilsson

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Tags: Algorithms, Collision detection, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Thesis

February 1, 2011 by hgpu

Computational Fluid Dynamic on GPU

Ting Xingdong, Sen Li

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, OpenCL, Poster

February 1, 2011 by hgpu

GPU as a Parallel Machine: Sorting on the GPU

Joseph T. Kider Jr.

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800 Ultra, Sorting

February 1, 2011 by hgpu

Introduction to GPU programming for EDA

John F. Croix, Sunil P. Khatri

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Tags: Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, OpenCL, Presentation, Review

February 1, 2011 by hgpu

Uncontracted Rys Quadrature Implementation of up to G Functions on Graphical Processing Units

Andrey Asadchev, Veerendra Allada, Jacob Felder, Brett M. Bode, Mark S. Gordon and Theresa L. Windus

Tags: Chemistry, CUBLAS, CUDA, Molecular modeling, Molecular simulation, nVidia, nVidia GeForce GTX 275, Tesla T10

February 1, 2011 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Cortical architectures on a GPGPU

Adaptive enhancement and noise reduction in very low light-level video

Delta-stepping: a parallelizable shortest path algorithm

High-Performance Neural Networks for Visual Object Classification

Modeling and generating complex motion blur for real-time tracking

Lazy Solid Texture Synthesis

SPH on GPU with CUDA

Constraint Fluids on GPU

Computational Fluid Dynamic on GPU

GPU as a Parallel Machine: Sorting on the GPU

Introduction to GPU programming for EDA

Uncontracted Rys Quadrature Implementation of up to G Functions on Graphical Processing Units

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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