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A middleware for efficient stream processing in CUDA

Shinta Nakagawa, Fumihiko Ino, Kenichi Hagihara

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization

November 20, 2010 by hgpu

Simulation of one-layer shallow water systems on multicore and CUDA architectures

Marc de la Asuncion, Jose Mantas, Manuel Castro

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, OpenMP

November 20, 2010 by hgpu

SBLOCK: A Framework for Efficient Stencil-Based PDE Solvers on Multi-core Platforms

Tobias Brandvik, Graham Pullan

Tags: Computer science, CUDA, nVidia, Partial differential equations, PDEs

November 20, 2010 by hgpu

Active Structured Learning for High-Speed Object Detection

Christoph H. Lampert, Jan Peters

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Video tracking

November 19, 2010 by hgpu

PantaRay: fast ray-traced occlusion caching of massive scenes

Jacopo Pantaleoni, Luca Fascione, Martin Hill, Timo Aila

Tags: 3D Graphics and Realism, Computer science, nVidia, Raytracing

November 19, 2010 by hgpu

Simulation of P systems with active membranes on CUDA

Jose M. Cecilia, Jose M. Garcia, Gines D. Guerrero, Miguel A. Martinez-del-Amor, Ignacio Perez-Hurtado, Mario J. Perez-Jimenez

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Tags: Computer science, CUDA, Membrane computing, nVidia, Tesla C1060

November 19, 2010 by hgpu

Real time ultrasound image denoising

Fernanda Palhano Xavier de Fontes, Guillermo Andrade Barroso, Pierrick Coupe, Pierre Hellier

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280

November 19, 2010 by hgpu

View-dependent exploration of massive volumetric models on large-scale light field displays

Jose Iglesias Guitian, Enrico Gobbetti, Fabio Marton

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

November 19, 2010 by hgpu

Accelerating numerical solution of stochastic differential equations with CUDA

M. Januszewski, M. Kostur

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Tags: Computational Physics, CUDA, Diffusion equation, nVidia, Package, Physics, Tesla C1060

November 19, 2010 by hgpu

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Luca Mussi, Fabio Daolio, Stefano Cagnoni

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT

November 19, 2010 by hgpu

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

Duy M. Dang, Christina Christara, Kenneth R. Jackson

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Tags: CUDA, Finance, Finite difference, nVidia, Partial differential equations, PDEs, Tesla T10

November 19, 2010 by hgpu

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Wei Xu, Fang Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard, Klaus Mueller

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Tags: Computed tomography, CT, CUDA, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce GTX 280, Tomography

November 19, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

A middleware for efficient stream processing in CUDA

Simulation of one-layer shallow water systems on multicore and CUDA architectures

SBLOCK: A Framework for Efficient Stencil-Based PDE Solvers on Multi-core Platforms

Active Structured Learning for High-Speed Object Detection

PantaRay: fast ray-traced occlusion caching of massive scenes

Simulation of P systems with active membranes on CUDA

Real time ultrasound image denoising

View-dependent exploration of massive volumetric models on large-scale light field displays

Accelerating numerical solution of stochastic differential equations with CUDA

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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