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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

Point to point processing of digital images using parallel computing

Eric Olmedo, Jorge de la Calleja, Antonio Benitez, Ma. Auxilio Medina

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 430

June 10, 2012 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Point to point processing of digital images using parallel computing

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

Most viewed papers (last 30 days)