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Acceleration of genetic algorithms for sudoku solution on many-core processors

Yuji Sato, Naohiro Hasegawa, Mikiko Sato

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Tags: Algorithms, Computer science, CUDA, Games, Genetic programming, nVidia, nVidia GeForce GTX 460, Presentation

September 20, 2011 by hgpu

Debugging CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Software Engineering

September 19, 2011 by hgpu

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Search

September 19, 2011 by hgpu

Generalisation in genetic programming

William B. Langdon

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Source codes

Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, Package

September 19, 2011 by hgpu

A model-driven partitioning and auto-tuning integrated framework for sparse matrix-vector multiplication on GPUs

Ping Guo, He Huang, Qichang Chen, Liqiang Wang, En-Jui Lee, Po Chen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Performance, Software Engineering, Sparse matrix

September 19, 2011 by hgpu

Computing without processors

Satnam Singh

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, DirectX, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 470

September 19, 2011 by hgpu

Real-time ray casting of algebraic B-spline surfaces

Feifei Wei, Jieqing Feng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 570, Rasterization, Real-time graphics, Visualization

September 19, 2011 by hgpu

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, nVidia, Presentation, Tesla C1060

September 19, 2011 by hgpu

Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU

Dietger van Antwerpen

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing

September 19, 2011 by hgpu

Simpler and faster HLBVH with work queues

Kirill Garanzha, Jacopo Pantaleoni, David McAllister

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing, Real-time graphics

September 19, 2011 by hgpu

A small-world network model for distributed storage of semantic metadata

A. Leist, K. A. Hawick

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Tags: Artificial intelligence, Computer science, CUDA, Networks, nVidia

September 19, 2011 by hgpu

Using many-core hardware to correlate radio astronomy signals

Rob V. van Nieuwpoort, John W. Romein

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Tags: Algorithms, Astrophysics, ATI, ATI CAL, ATI Radeon HD 4870, ATI Stream, Cell processor, CUDA, nVidia, Performance, Physics, Signal processing, Tesla C1060

September 19, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Acceleration of genetic algorithms for sudoku solution on many-core processors

Debugging CUDA

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Generalisation in genetic programming

A model-driven partitioning and auto-tuning integrated framework for sparse matrix-vector multiplication on GPUs

Computing without processors

Real-time ray casting of algebraic B-spline surfaces

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU

Simpler and faster HLBVH with work queues

A small-world network model for distributed storage of semantic metadata

Using many-core hardware to correlate radio astronomy signals

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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