high performance computing on graphics processing units: hgpu.org

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GPU-based particle simulation with inter-collisions

Jeronimo S. Venetillo, Waldemar Celes

Tags: 3D Graphics and Realism, Computer science, Particle simulation

December 4, 2010 by hgpu

In-memory grid files on graphics processors

Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander, Jiaoying Shi

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX

December 4, 2010 by hgpu

Non-rigid multi-modal registration on the GPU

Christoph Vetter, Christoph Guetter, Chenyang Xu, Rudiger Westermann

Tags: Image processing, Image registration, Medicine

December 4, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

Tags: Computer science, CUDA, High-level Languages, nVidia, Review

December 4, 2010 by hgpu

Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow

Wilson W. L. Fung, Ivan Sham, George Yuan, Tor M. Aamodt

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Tags: Computer science, Hardware, Performance

December 4, 2010 by hgpu

Parallel processing between GPU and CPU: Concepts in a game architecture

Marcelo Panaro de Moraes Zamith, Esteban W. G. Clua, Aura Conci, Anselmo Montenegro, Paulo A. Pagliosa, Luis Valente

Tags: Computer science, Games

December 4, 2010 by hgpu

Lattice QCD as a video game

G. Egri, Z. Fodor, C. Hoelbling, S. Katz, D. Nogradi, K. Szabo

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Tags: Algorithms, Cg, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Physics, QCD

December 4, 2010 by hgpu

Shared Sampling for Real-Time Alpha Matting

Eduardo S. L. Gastal, Manuel M. Oliveira

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Tags: Computer vision, GLSL, Image processing, nVidia, nVidia GeForce GTX 280

December 4, 2010 by hgpu

Abstract shade trees

Morgan McGuire, George Stathis, Hanspeter Pfister, Shriram Krishnamurthi

Tags: Artificial intelligence, Computer science, Data Structures and Algorithms, Shaders

December 4, 2010 by hgpu

Representing Higher-Order Singularities in Vector Fields on Piecewise Linear Surfaces

Wan C. Li, Bruno Vallet, Nicolas Ray, Bruno Levy

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce FX 5650, Visualization

December 4, 2010 by hgpu

Exploded Views for Volume Data

S. Bruckner, M. E. Groller

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 6800 GT, OpenGL, Rendering, Visualization

December 4, 2010 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

Applications

GPU-based particle simulation with inter-collisions

In-memory grid files on graphics processors

Non-rigid multi-modal registration on the GPU

GPUQP: query co-processing using graphics processors

GPU Computing: Programming a Massively Parallel Processor

Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow

Parallel processing between GPU and CPU: Concepts in a game architecture

Lattice QCD as a video game

Shared Sampling for Real-Time Alpha Matting

Abstract shade trees

Representing Higher-Order Singularities in Vector Fields on Piecewise Linear Surfaces

Exploded Views for Volume Data

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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