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Multi-level Parallelization of Advanced Video Coding on Hybrid CPU/GPU Platform

Svetislav Momcilovic, Nuno Roma, Leonel Sousa

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 580, Task scheduling, Video encoding

July 10, 2012 by hgpu

Random Walks for Image Cosegmentation

Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 470, Package

July 7, 2012 by hgpu

Implementing Interactive 3D Segmentation on CUDA Using Graph-Cuts and Watershed Transformation

Jan Kolomaznik, Jan Horacek, Vaclav Krajicek, Josef Pelikan

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560

July 7, 2012 by hgpu

Image and Video Processing on GPU: Implementation Scheme, Applications and Future Directions

Roberto Di Salvo, Carmelo Pino

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Tags: CUDA, Image processing, nVidia

July 6, 2012 by hgpu

fMRI analysis on the GPU-possibilities and challenges

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: CUDA, Image processing, Magnetic resonance imaging, Motion compensation, MRI, nVidia, nVidia GeForce GTX 480

July 6, 2012 by hgpu

A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

Rafael Rodriguez-Sanchez, Jose Luis Martinez, Gerardo Fernandez-Escribano, Jose Luis Sanchez, Jose Manuel Claver

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Tags: Compression, Computational Complexity, CUDA, H.264/AVC, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480

July 4, 2012 by hgpu

Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: Code generation, CUDA, Image processing, nVidia, OpenCL, Optimization, Package, Tesla C2050

July 3, 2012 by hgpu

Two Stage Data Mining Technique for Fast Monsoon Onset Prediction

Dinu John, K. K. Sindhu, B. B. Meshram

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Tags: CUDA, Data mining, Earth and Space Sciences, Image processing, nVidia, Weather prediction

July 3, 2012 by hgpu

API-Compiling for Image Hardware Accelerators

Fabien Coelho, Francois Irigoin

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Tags: Code generation, Image processing, nVidia, nVidia GeForce 9300 GE, OpenCL

July 2, 2012 by hgpu

CUDA-accelerated Hierarchical K-means

Che-Chun Lee, Kuan-Yu Chu

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Tags: Clustering, CUDA, Image processing, nVidia, Tesla C1060

July 1, 2012 by hgpu

A Parallel Image Segmentation Algorithm on GPUs

P. N. Happ, R. Q. Feitosa, C. Bentes, R. Farias

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 9600 GT, Tesla C1060

June 29, 2012 by hgpu

GPU Computing: Image Convolution

Jan Novak, Anton Kaplanyan, Gabor Liktor, Carsten Dachsbacher

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Tags: Education, Image processing, OpenCL, Package

June 20, 2012 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

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high performance computing on graphics processing units: hgpu.org

Applications

Multi-level Parallelization of Advanced Video Coding on Hybrid CPU/GPU Platform

Random Walks for Image Cosegmentation

Implementing Interactive 3D Segmentation on CUDA Using Graph-Cuts and Watershed Transformation

Image and Video Processing on GPU: Implementation Scheme, Applications and Future Directions

fMRI analysis on the GPU-possibilities and challenges

A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging

Two Stage Data Mining Technique for Fast Monsoon Onset Prediction

API-Compiling for Image Hardware Accelerators

CUDA-accelerated Hierarchical K-means

A Parallel Image Segmentation Algorithm on GPUs

GPU Computing: Image Convolution

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

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