high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Accelerating the Simulations of the Ising Model by the GPU under the CUDA Environment

Xing Lu, Jing Cai, Peidong Cui, Wei Zhang

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Tags: Algorithms, CUDA, Ising model, Monte Carlo simulation, nVidia, Physics, Tesla C1060

January 22, 2012 by hgpu

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

Xuyuan Jin

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Tags: Cluster computing, Code generation, Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 570

January 21, 2012 by hgpu

GPGPU calculations of gas thermodynamic quantities

Igor Mracka, Peter Somora, Tibor Zacik

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Tags: CUDA, Differential equations, Fluid dynamics, nVidia, nVidia GeForce GTX 570, Tesla C2050

January 21, 2012 by hgpu

OpenCL for Database Query Processing

Georgios Krespis

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce 9600 M, OpenCL, Thesis

January 21, 2012 by hgpu

Markov Chain Monte Carlo on the GPU

Michael D. Dumont

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Tags: Algorithms, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GT 330 M, OpenCL, Thesis

January 21, 2012 by hgpu

A Practical Visualization Strategy for Large-Scale Supernovae CFD Simulations

Derek K. Gerstmann, Toby Potter, Michael Houston, Paul Bourke, Kwan-Liu Ma, Andreas Wicenec

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Tags: ATI, ATI Radeon HD 6750 M, Fluid dynamics, OpenCL, OpenGL, Visualization

January 21, 2012 by hgpu

Parallel FEM Simulation Using GPUs

Vishnukanthan Kandasamy

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Tags: Computer science, CUDA, FEM, Finite element method, MPI, nVidia

January 21, 2012 by hgpu

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Laurent A. Baumes, Frederic Kruger, Pierre Collet

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Source codes

Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Materials Science, nVidia, nVidia GeForce GTX 275, Package

January 21, 2012 by hgpu

Plenoptic Rendering With Interactive Performance Using GPUs

Andrew Lumsdaine, Georgi Chunev, Todor Georgiev

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Tags: Algorithms, Image processing, nVidia, nVidia Quadro FX 5600, OpenGL, Rendering

January 21, 2012 by hgpu

Direct Visualization of Particle-Partition of Unity Data

M. Uffinger, M. A. Schweitzer, F. Sadlo, T. Ertl

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Tags: Algorithms, Computer science, GLSL, Image generation, nVidia, nVidia GeForce GTX 470, OpenGL, Visualization

January 21, 2012 by hgpu

The State of the Art in Interactive Global Illumination

Tobias Ritschel, Carsten Dachsbacher, Thorsten Grosch, Jan Kautz

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

January 21, 2012 by hgpu

Fast Graph Cuts using Shrink-Expand Reparameterization

Parikshit Sakurikar, P. J. Narayanan

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

January 21, 2012 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

Programming

Accelerating the Simulations of the Ising Model by the GPU under the CUDA Environment

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

GPGPU calculations of gas thermodynamic quantities

OpenCL for Database Query Processing

Markov Chain Monte Carlo on the GPU

A Practical Visualization Strategy for Large-Scale Supernovae CFD Simulations

Parallel FEM Simulation Using GPUs

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Plenoptic Rendering With Interactive Performance Using GPUs

Direct Visualization of Particle-Partition of Unity Data

The State of the Art in Interactive Global Illumination

Fast Graph Cuts using Shrink-Expand Reparameterization

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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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