high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Dual-RBF based surface reconstruction

Yuxu Lin, Chun Chen, Mingli Song, Zicheng Liu

Tags: Computer science, Image processing, Image reconstruction

December 15, 2010 by hgpu

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, CUDA, nVidia, Search, Tesla C1060

December 15, 2010 by hgpu

Genetic programming on graphics processing units

Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt

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

December 15, 2010 by hgpu

Creation and control of rain in virtual environments

Anna Puig-Centelles, Oscar Ripolles, Miguel Chover

Tags: Computer science, Real-time graphics, Rendering

December 15, 2010 by hgpu

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Martin Eisemann, Anita Sellent, Marcus Magnor

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

December 15, 2010 by hgpu

Real-time multi-band synthesis of ocean water with new iterative up-sampling technique

E. Miandji, Sargazi, Faramarz Samavati, M. Emadi

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Tags: Computer science, DirectX, nVidia, nVidia GeForce 7600 GO, Real-time graphics, Rendering

December 15, 2010 by hgpu

Optimizing Monte Carlo radiosity on graphics hardware

J. Sanjurjo, M. Amor, M. Boo, R. Doallo, J. Casares

Tags: Computer science, CUDA, Monte Carlo simulation, nVidia, Optimization, Rendering

December 15, 2010 by hgpu

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Seyong Lee, Seung-Jai Min, and Rudolf Eigenman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia Quadro FX 5600, OpenMP, Programming techniques

December 15, 2010 by hgpu

Compiler support for general-purpose computation on GPUs

Yu-Te Lin, Peng-Sheng Chen

Tags: Cg, Computer science, High-level Languages, nVidia, OpenGL

December 15, 2010 by hgpu

gProximity: Hierarchical GPU-based Operations for Collision and Distance Queries

C. Lauterbach, Q. Mo, D. Manocha

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package

December 14, 2010 by hgpu

Fast Ray Sorting and Breadth-First Packet Traversal for GPU Ray Tracing

Kirill Garanzha, Charles Loop

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Raytracing

December 14, 2010 by hgpu

GPU-Based Spherical Light Field Rendering with Per-Fragment Depth Correction

S. Todt, C. Rezk-Salama, A. Kolb, K.-D. Kuhnert

Tags: Computer science, Image generation, Rendering

December 14, 2010 by hgpu

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

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

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

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

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

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

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

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

Hunting CUDA Bugs at Scale with cuFuzz

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high performance computing on graphics processing units: hgpu.org

Applications

Dual-RBF based surface reconstruction

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Genetic programming on graphics processing units

Creation and control of rain in virtual environments

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Real-time multi-band synthesis of ocean water with new iterative up-sampling technique

Optimizing Monte Carlo radiosity on graphics hardware

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Compiler support for general-purpose computation on GPUs

gProximity: Hierarchical GPU-based Operations for Collision and Distance Queries

Fast Ray Sorting and Breadth-First Packet Traversal for GPU Ray Tracing

GPU-Based Spherical Light Field Rendering with Per-Fragment Depth Correction

Recent source codes

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

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

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

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

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

True 4-Bit Quantized CNN Training on CPU

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

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