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Efficient Triangle and Quadrilateral Clipping within Shaders

M. McGuire

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce GTX 580, OpenGL, Optimization, Package, Rasterization

December 31, 2011 by hgpu

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

Ekaterina Gonina

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Tags: Acoustics, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Python, Thesis

December 31, 2011 by hgpu

A GPU Accelerated Volumetric Ray Tracer for Incandescent Gas

Andrew Zonenberg, Sylvia Forrest

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Tags: Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce GTX 460 M, Rendering

December 31, 2011 by hgpu

Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs

Carlos S. Bederian, Axel D. Dente

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Tags: Algorithms, Computer science, CUDA, Numerical simulation, nVidia, Physics, Tesla C2070

December 31, 2011 by hgpu

Fast K-selection Algorithms for Graphics Processing Units

Tolu Alabi, Jeffrey D. Blanchard, Bradley Gordon, Russel Steinbach

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, nVidia, Package, Sorting, Tesla C2070

December 31, 2011 by hgpu

Hierarchical Stochastic Motion Blur Rasterization

Jacob Munkberg, Petrik Clarberg, Jon Hasselgren, Robert Toth, Masamichi Sugihara, Tomas Akenine-Moller

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 290, Rasterization

December 31, 2011 by hgpu

Optimising the DBCSR GPU Implementation

Jay Chetty

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tesla C2050, Thesis

December 31, 2011 by hgpu

Torch7: A Matlab-like Environment for Machine Learning

Ronan Collobert, Koray Kavukcuoglu, Clement Farabet

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 460

December 31, 2011 by hgpu

A 3D Convex Hull Algorithm for Graphics Hardware

Mingcen Gao, Thanh-Tung Cao, Tiow-Seng Tan, Zhiyong Huang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenGL, Package, Voronoi diagram

December 31, 2011 by hgpu

Construction and Rendering of Trimmed Blending Surfaces with Sharp Features on a GPU

Dae-Hyun Ko, Jieun Lee, Seong-Jae Lim, Seung-Hyun Yoon

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Tags: Cg, Computer science, nVidia, nVidia GeForce 6800 Ultra, Rendering

December 31, 2011 by hgpu

Deep Shadow Maps from Volumetric Data on the GPU

Adam J. Shook

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Tags: Computer science, DirectX, HLSL, nVidia, nVidia GeForce GTX 465, Raytracing

December 30, 2011 by hgpu

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

George C. Caragea, Alexandros Tzannes, Fuat Keceli, Rajeev Barua, Uzi Vishkin

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Tags: Algorithms, ASIC, Benchmarking, Computer science, Memory level parallelism, nVidia, Package, Prefetch

December 29, 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

Efficient Triangle and Quadrilateral Clipping within Shaders

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

A GPU Accelerated Volumetric Ray Tracer for Incandescent Gas

Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs

Fast K-selection Algorithms for Graphics Processing Units

Hierarchical Stochastic Motion Blur Rasterization

Optimising the DBCSR GPU Implementation

Torch7: A Matlab-like Environment for Machine Learning

A 3D Convex Hull Algorithm for Graphics Hardware

Construction and Rendering of Trimmed Blending Surfaces with Sharp Features on a GPU

Deep Shadow Maps from Volumetric Data on the GPU

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

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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