high performance computing on graphics processing units: hgpu.org

Programming

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Interactive multiple anisotropic scattering in clouds

Antoine Bouthors, Fabrice Neyret, Nelson Max, Eric Bruneton, Cyril Crassin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS

February 25, 2011 by hgpu

Pyramid Methods in GPU-Based Image Processing

Magnus Strengert, Martin Kraus, and Thomas Ertl

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7800 GTX, OpenGL, Programming techniques

February 25, 2011 by hgpu

Parallel Image Processing Based on CUDA

Zhiyi Yang, Yating Zhu, Yong Pu

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Tags: Algorithms, CUDA, Image processing, nVidia

February 25, 2011 by hgpu

SU(2) Lattice Gauge Theory Simulations on Fermi GPUs

Nuno Cardoso, Pedro Bicudo

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Package, Physics

February 25, 2011 by hgpu

OpenGL application live migration with GPU acceleration in personal cloud

Yunbiao Lin, Wei Wang, Kyle Gui

Tags: Algorithms, Computer science, OpenGL, Software Engineering, Virtualization

February 25, 2011 by hgpu

Achieving a single compute device image in OpenCL for multiple GPUs

Jungwon Kim, Honggyu Kim, Joo H. Lee, Jaejin Lee

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL, Optimization

February 25, 2011 by hgpu

Promise of embedded system with GPU in artificial leg control: Enabling time-frequency feature extraction from electromyography

Weijun Xiao, He Huang, Yan Sun, Qing Yang

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Tags: CUDA, FFT, Medicine, nVidia, nVidia GeForce 9500 GT

February 24, 2011 by hgpu

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

Xiaohan Ma, Mian Dong, Lin Zhong, Zhigang Deng

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GT

February 24, 2011 by hgpu

Barra, a Modular Functional GPU Simulator for GPGPU

Sylvain Collange, David Defour, David Parello

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package, Performance

February 24, 2011 by hgpu

An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters

Dana A. Jacobsen, Julien C. Thibault, Inanc Senocak

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Tags: CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 260, Tesla C1060, Tesla C870, Tesla S1070, Tesla S870

February 24, 2011 by hgpu

Algebraic 3D Reconstruction of Planetary Nebulae

Stephan Wenger, Juan Aja Fernandez, Christophe Morisset, Marcus Magnor

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Tags: Astrophysics, CUBLAS, CUDA, Image reconstruction, nVidia, Physics

February 24, 2011 by hgpu

Accelerating Quantum Monte Carlo Simulations with Emerging Architectures

Akila Gothandaraman

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Tags: Computer science, CUDA, FPGA, nVidia, QMC, Tesla C1060, Tesla C870, Thesis

February 24, 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

Programming

Interactive multiple anisotropic scattering in clouds

Pyramid Methods in GPU-Based Image Processing

Parallel Image Processing Based on CUDA

SU(2) Lattice Gauge Theory Simulations on Fermi GPUs

OpenGL application live migration with GPU acceleration in personal cloud

Achieving a single compute device image in OpenCL for multiple GPUs

Promise of embedded system with GPU in artificial leg control: Enabling time-frequency feature extraction from electromyography

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

Barra, a Modular Functional GPU Simulator for GPGPU

An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters

Algebraic 3D Reconstruction of Planetary Nebulae

Accelerating Quantum Monte Carlo Simulations with Emerging Architectures

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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

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