high performance computing on graphics processing units: hgpu.org

David Pierson Bradway, Michael Johannes Pihl, Andreas Krebs, Borislav Gueorguiev Tomov, Carsten Straso Kjaer, Svetoslav Ivanov Nikolov, Jorgen Arendt Jensen

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Tags: Algorithms, ATI, ATI Radeon HD 7850, Image processing, OpenCL, Ultrasound, Visualization

February 26, 2014 by hgpu

REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time

Matia Pizzoli, Christian Forster, Davide Scaramuzza

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Tags: Bayesian, Computer vision, CUDA, Image processing, nVidia, nVidia Quadro K 2000 M

February 26, 2014 by hgpu

ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets

Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer

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Tags: CUDA, Image processing, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 650 Ti, Wavelet

February 26, 2014 by hgpu

Parallel Spectral Graph Partitioning on CUDA

Orhan Firat, Alptekin Temizel

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Tags: Algorithms, CUDA, Image processing, Machine learning, nVidia, Tesla C2070

February 23, 2014 by hgpu

The battle of the giants: a case study of GPU vs FPGA optimisation for real-time image processing

Lars Struyf, Stijn De Beugher, Dong Hoon Van Uytsel, Frans Kanters, Toon Goedeme

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Computer vision, FPGA, Image processing, OpenCL

February 17, 2014 by hgpu

Optimizing Performance of Stencil Code with SPL Conqueror

Alexander Grebhahn, Norbert Siegmund, Sven Apel, Sebastian Kuckuk, Christian Schmitt, Harald Kostler

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Source codes

Tags: Computer science, CUDA, Differential equations, Finite difference, Image processing, nVidia, OpenCL, Package, Partial differential equations, PDEs, Tesla K20

February 17, 2014 by hgpu

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

Wenxiang Deng

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 570

February 16, 2014 by hgpu

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Prototyping methodology of image processing applications on heterogeneous parallel systems

Real-time video denoising for 2D ultrasound streaming video on GPUs

Back Ground Subtraction Algorithm For Moving Object Detection In FPGA

Applications of Linux-Based QT-CUDA Parallel Architecture

CPU-GPU Collaboration for Output Quality Monitoring

Real-Time GPU Implementation of Transverse Oscillation Vector Velocity Flow Imaging

REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time

ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets

Parallel Spectral Graph Partitioning on CUDA

The battle of the giants: a case study of GPU vs FPGA optimisation for real-time image processing

Optimizing Performance of Stencil Code with SPL Conqueror

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

Recent source codes

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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