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Material Removal Simulation and Cutting Force Prediction of Multi-Axis Machining Processes on General-Purpose Graphics Processing Units

Balazs Tukora

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Tags: Algorithms, CAD, CUDA, Materials Science, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480

October 2, 2012 by hgpu

Parallelizing LINQ Program for GPGPU

Pritesh Agrawal

Tags: Computer science, CUDA, Databases, nVidia, Thesis

October 2, 2012 by hgpu

Compute Distance Matrices with GPU

Seongho Kim, Ming Ouyang

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Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, Tesla C2050

October 1, 2012 by hgpu

CUDA-Zero: a framework for porting shared memory GPU applications to multi-GPUs

Chen DeHao, Chen WenGuang, Zheng WeiMin

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Tags: Computer science, CUDA, Memory model, nVidia, Tesla C1060

September 30, 2012 by hgpu

Nonperturbative Quantum Field Theory in Astrophysics

Daniel Paul Mazur

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Tags: Astrophysics, CUDA, Gravitation, High Energy Astrophysical Phenomena, nVidia, Physics, Tesla C1060, Thesis

September 30, 2012 by hgpu

Real-Time Computer Vision with openCV

Kari Pulli, Anatoly Baksheev, Kirill Kornyakov, Victor Eruhimov

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

September 30, 2012 by hgpu

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Joao V. F. Lima, Thierry Gautier, Nicolas Maillard, Vincent Danjean

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

September 28, 2012 by hgpu

A fast Texture-by-numbers synthesis method based on texture optimization

Jing Fan, Xiao-Ying Shi, Zhan Zhou, Ying Tang

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580, Optimization, Rendering

September 28, 2012 by hgpu

Parallel Execution of Constraint Handling Rules on a Graphical Processing Unit

Amira Zaki, Thom Fruhwirth, Ilvar Geller

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Tags: Computer science, CUDA, nVidia

September 28, 2012 by hgpu

Increasing the performance of AllToAll variant of self-organizing migration algorithm using CUDA

Michal Pavlech, Jan Seckar

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization

September 27, 2012 by hgpu

Deterministic Parallelism

Alan Leung

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Tags: Computer science, CUDA, nVidia

September 27, 2012 by hgpu

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

R. Nowotniak, J. Kucharski

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 295, Optimization

September 27, 2012 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Material Removal Simulation and Cutting Force Prediction of Multi-Axis Machining Processes on General-Purpose Graphics Processing Units

Parallelizing LINQ Program for GPGPU

Compute Distance Matrices with GPU

CUDA-Zero: a framework for porting shared memory GPU applications to multi-GPUs

Nonperturbative Quantum Field Theory in Astrophysics

Real-Time Computer Vision with openCV

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

A fast Texture-by-numbers synthesis method based on texture optimization

Parallel Execution of Constraint Handling Rules on a Graphical Processing Unit

Increasing the performance of AllToAll variant of self-organizing migration algorithm using CUDA

Deterministic Parallelism

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

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

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

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