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Fluid Simulation and Generating Textures with Reaction-Diffusion Systems on Surfaces in the GPU

Leonardo Carvalho, Maria Andrade, Luiz Velho

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Tags: 3D Graphics and Realism, CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470

April 20, 2015 by hgpu

Optimizing ASP.NET with C++ AMP on the GPU

Scott Zimmerman

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Tags: C++ AMP, Cloud, Computer science, Matrix multiplication, nVidia, nVidia GRID K520, Package

April 17, 2015 by hgpu

Unsafe Floating-point to Unsigned Integer Casting Check for GPU Programs

Wei-Fan Chiang, Ganesh Gopalakrishnan, Zvonimir Rakamaric

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Tags: Computer science, CUDA, nVidia

April 17, 2015 by hgpu

Arbitrary-Precision Arithmetics on the GPU

Bernhard Langer

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Tags: Computer science, CUDA, Extended precision, nVidia, nVidia Quadro K 2100 M

April 17, 2015 by hgpu

Deep convolutional networks for pancreas segmentation in CT imaging

Holger R. Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers

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Tags: Computed tomography, CT, CUDA, Deep learning, Medicine, Neural networks, nVidia, nVidia GeForce GTX Titan Z, Tomography

April 17, 2015 by hgpu

NBODY6++GPU: Ready for the gravitational million-body problem

Long Wang, Rainer Spurzem, Sverre Aarseth, Keigo Nitadori, Peter Berczik, M.B.N. Kouwenhoven, Thorsten Naab

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla K20

April 17, 2015 by hgpu

Collaborative Diffusion on the GPU for Path-Finding in Games

Craig McMillan, Emma Hart, Kevin Chalmers

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Tags: AI, Algorithms, CUDA, Games, Graph, Search

April 15, 2015 by craigmcmillan01

GPU Accelerated Randomized Singular Value Decomposition and Its Application in Image Compression

Hao Ji, Yaohang Li

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 780

April 14, 2015 by hgpu

A Parallel Tree Pattern Query Processing Algorithm for Graph Databases using a GPGPU

Lila Shnaiderman, Oded Shmueli

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

April 14, 2015 by hgpu

Image Classification with Pyramid Representation and Rotated Data Augmentation on Torch 7

Keven (Kedao) Wang

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Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GRID K520

April 14, 2015 by hgpu

Massively Parallel Ray Tracing Algorithm Using GPU

Yutong Qin, Jianbiao Lin, Xiang Huang

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 6750 M, Computer science, OpenCL, Raytracing, Rendering

April 14, 2015 by hgpu

OpenCL-Z Android Released on Google Play

Robert Wang

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Tags: Android, OpenCL

April 14, 2015 by lanshan317

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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Fluid Simulation and Generating Textures with Reaction-Diffusion Systems on Surfaces in the GPU

Unsafe Floating-point to Unsigned Integer Casting Check for GPU Programs

Arbitrary-Precision Arithmetics on the GPU

Deep convolutional networks for pancreas segmentation in CT imaging

NBODY6++GPU: Ready for the gravitational million-body problem

Collaborative Diffusion on the GPU for Path-Finding in Games

GPU Accelerated Randomized Singular Value Decomposition and Its Application in Image Compression

A Parallel Tree Pattern Query Processing Algorithm for Graph Databases using a GPGPU

Image Classification with Pyramid Representation and Rotated Data Augmentation on Torch 7

Massively Parallel Ray Tracing Algorithm Using GPU

OpenCL-Z Android Released on Google Play

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

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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