high performance computing on graphics processing units: hgpu.org

hgpu.org » Raytracing

An Improved Monte Carlo Ray Tracing for Large-Scale Rendering in Hadoop

Rui Li, Yue Zheng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Hadoop, MapReduce, Raytracing, Rendering

June 17, 2014 by hgpu

Divide and Conquer G-Buffer Ray Tracing

Daniel Stokes

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 6330 M, Computer science, OpenGL, Raytracing, Thesis

June 16, 2014 by hgpu

GPU Ray Tracing with CUDA

Tom A. Pitkin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

May 31, 2014 by hgpu

Build and Travel KD-Tree with CUDA

Meng Zhou

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Source codes

Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 780 Ti, Package, Raytracing

May 14, 2014 by hgpu

Refresh Rate Modulation for Perceptually Optimized Computer Graphics

Jeffrey Smith, Thomas Booth, Reynold Bailey

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Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, OpenCL, OpenGL, Raytracing

May 3, 2014 by hgpu

GPU-accelerated ray-tracing for real-time treatment planning

H. Heinrich, P. Ziegenhein, C. P. Kamerling, H. Froening, U. Oelfke

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Tags: Algorithms, CUDA, nVidia, Physics, Radiotherapy, Raytracing, Tesla K20

May 3, 2014 by hgpu

Thickness computation of trimmed B-Rep model using GPU ray tracing

Gregoire Lemasson, Jean-Claude Iehl, Florence Zara, Behzad Shariat, Vincent Baudet, Philippe Arthaud

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Raytracing

April 30, 2014 by hgpu

Piko: A Design Framework for Programmable Graphics Pipelines

Anjul Patney, Stanley Tzeng, Kerry A. Seitz Jr., John D. Owens

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Tags: 3D Graphics and Realism, Code generation, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, PTX, Rasterization, Raytracing, Rendering

April 29, 2014 by hgpu

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

V. Guerra, C. Quintana, J. Rufo, J. Rabadan, R. Perez-Jimenez

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenMP, Raytracing, Tesla M2050

April 12, 2014 by hgpu

Literature review: Build and Travel KD-Tree with CUDA

M. Zhou

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Tags: CUDA, Graphics, KD-tree, Raytracing, Review

March 29, 2014 by hgpu

Performance Analysis for GPU-based Ray-triangle Algorithms

Juan J. Jimenez, Carlos J. Ogayar, Jose M. Noguera, Felix Paulano

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Performance, Raytracing

March 6, 2014 by hgpu

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

Ji-Hoon Kang, Syung-Og An, Shin-Jin Kang, Seok-Hun Kim, SooKyun Kim

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

February 8, 2014 by hgpu

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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high performance computing on graphics processing units: hgpu.org

An Improved Monte Carlo Ray Tracing for Large-Scale Rendering in Hadoop

Divide and Conquer G-Buffer Ray Tracing

GPU Ray Tracing with CUDA

Build and Travel KD-Tree with CUDA

Refresh Rate Modulation for Perceptually Optimized Computer Graphics

GPU-accelerated ray-tracing for real-time treatment planning

Thickness computation of trimmed B-Rep model using GPU ray tracing

Piko: A Design Framework for Programmable Graphics Pipelines

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

Literature review: Build and Travel KD-Tree with CUDA

Performance Analysis for GPU-based Ray-triangle Algorithms

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

Recent source codes

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

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

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

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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