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GPU-Based Road Sign Detection Using Particle Swarm Optimization

Luca Mussi, Stefano Cagnoni, Fabio Daolio

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GT

May 17, 2011 by hgpu

Profiling General Purpose GPU Applications

Bruno Coutinho, George Teodoro, Rafael Sachetto, Dorgival Guedes, Renato Ferreira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques

May 17, 2011 by hgpu

Efficient Approximate Visibility of Point Sets on the GPU

Denison L. M. Tavares, Joao L. D. Comba

Tags: Computer science, Distance transform, Geodesic Distances, Rendering

May 16, 2011 by hgpu

Implementation of Advanced Encryption Standard for encryption and decryption of images and text on a GPU

Manoj Seshadrinathan, Kelly L. Dempski

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Tags: AES, Computer science, HLSL, Image processing, nVidia, nVidia GeForce 7800, nVidia Quadro FX 3000, nVidia Quadro FX 3400, nVidia Quadro FX 4400, Security

May 16, 2011 by hgpu

GPU-based X server on top of EGL and openVG

Dongkyun Jeong, Kamalneet Singh, Namin Kim, Soochan Lim

Tags: Computer science, Energy-efficient computing, Operating systems

May 16, 2011 by hgpu

Muscle pushing based skin deformation on GPU

Cheng Wang, Shuling Dai

Tags: 3D Graphics and Realism, Computer science, Rendering, Virtual reality

May 16, 2011 by hgpu

Shape-merging and interpolation using class estimation for unseen voxels with a GPU-based efficient implementation

Ryo Furukawa, Tomoya Itano, Akihiko Morisaka, Hiroshi Kawasaki

Tags: Computer science, Digital geometry, Numerical Analysis, Rendering

May 16, 2011 by hgpu

The GPU enters computing’s mainstream

Michael Macedonia

Tags: ATI, Computer science, nVidia, Review

May 16, 2011 by hgpu

Incremental Raycasting of Piecewise Quadratic Surfaces on the GPU

Carsten Stoll, Stefan Gumhold, Hans-Peter Seidel

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7800 GT, OpenGL, Rendering

May 16, 2011 by hgpu

A parallel Ant Colony Optimization algorithm with GPU-acceleration based on All-In-Roulette selection

Jie Fu, Lin Lei, Guohua Zhou

Tags: Algorithms, Artificial intelligence, Computer science

May 15, 2011 by hgpu

K3 Moore’s Law in the Era of GPU Computing

Chien-Ping Lu

Tags: Computer science, Hardware Architecture, nVidia, Review

May 15, 2011 by hgpu

Fermi GF100 GPU Architecture

Craig M. Wittenbrink, Emmett Kilgariff, Arjun Prabhu

Tags: Computer science, CUDA, Hardware Architecture, nVidia, Review

May 15, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

GPU-Based Road Sign Detection Using Particle Swarm Optimization

Profiling General Purpose GPU Applications

Efficient Approximate Visibility of Point Sets on the GPU

Implementation of Advanced Encryption Standard for encryption and decryption of images and text on a GPU

GPU-based X server on top of EGL and openVG

Muscle pushing based skin deformation on GPU

Shape-merging and interpolation using class estimation for unseen voxels with a GPU-based efficient implementation

The GPU enters computing’s mainstream

Incremental Raycasting of Piecewise Quadratic Surfaces on the GPU

A parallel Ant Colony Optimization algorithm with GPU-acceleration based on All-In-Roulette selection

K3 Moore’s Law in the Era of GPU Computing

Fermi GF100 GPU Architecture

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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