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GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

Scott Grauer-Gray, Chandra Kambhamettu, Kannappan Palaniappan

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT

March 22, 2011 by hgpu

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Hiroyuki Takizawa, Katsuto Sato, Kazuhiko Komatsu,

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

January 17, 2011 by hgpu

Low-cost, high-speed computer vision using NVIDIA’s CUDA architecture

Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao, Francis Quek

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, Pattern recognition, Video tracking

January 13, 2011 by hgpu

Nuclei: GPU-Accelerated Many-Core Network Coding

Hassan Shojania, Baochun Li, Xin Wang

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280

January 4, 2011 by hgpu

Local Search Algorithms on Graphics Processing Units. A Case Study: The Permutation Perceptron Problem

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Search

January 4, 2011 by hgpu

GPU Accelerated Multimodal Background Subtraction

Peter Carr

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Tags: Image processing, nVidia, nVidia GeForce 8600 M GT, OpenGL

December 25, 2010 by hgpu

MIMD Interpretation on a GPU

Henry G. Dietz, B. Dalton Young

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Tags: Algorithms, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GT, nVidia GeForce GTX 280

December 21, 2010 by hgpu

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

Morgan McGuire

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Source codes

Tags: GLSL, Image processing, nVidia, nVidia GeForce 8600 M GT, OpenGL, Package

December 18, 2010 by hgpu

Modeling of tsunami waves and atmospheric swirling flows with graphics processing unit

Jessica Schmidt, Cecile Piret, Nan Zhang, Benjamin J. Kadlec, David A. Yuen, Yingchun Liu, Grady Barrett Wright, Erik O. D. Sevre

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 8600 M GT, nVidia Quadro FX 5600

November 27, 2010 by hgpu

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

Massimo Bernaschi, Massimiliano Fatica, Simone Melchionna, Sauro Succi, Efthimios Kaxiras

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, nVidia GeForce 8600 M GT, Tesla C870

November 18, 2010 by hgpu

Using Graphics Processors for Parallelizing Hash-based Data Carving

Sylvain Collange, Yoginder Dandass, Marc Daumas, David Defour

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Tags: Computer science, Data recovery, Hashing, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8600 M GT

November 13, 2010 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Low-cost, high-speed computer vision using NVIDIA’s CUDA architecture

Nuclei: GPU-Accelerated Many-Core Network Coding

Local Search Algorithms on Graphics Processing Units. A Case Study: The Permutation Perceptron Problem

GPU Accelerated Multimodal Background Subtraction

MIMD Interpretation on a GPU

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

Modeling of tsunami waves and atmospheric swirling flows with graphics processing unit

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

Using Graphics Processors for Parallelizing Hash-based Data Carving

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Most viewed papers (last 30 days)