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High Performance Computing Image Analysis for Radiotherapy Planning

Zilong Pan

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Tags: Computed tomography, CT, CUDA, Filtering, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis, Tomography

December 17, 2013 by hgpu

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

Thomas M. Benson, Ryan K. Hersey, Edwin Culpepper

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia Quadro 3000 M, Tesla K20, Tesla M2090

November 8, 2013 by hgpu

Computer Tomography and Ultrasonography Image Registration Based on the Cooperation of GPU and CPU

Ying-Chih Lin, Chien-Liang Huang, Chin-Sheng Chen, Wen-Chung Chang, Yu-Jen Chen, Chia-Yuan Liu

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Tags: Algorithms, CUDA, Filtering, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 470, Tomography

November 2, 2013 by hgpu

GPU-Specfic Kalman Filtering and Retrodiction for Large-Scale Target Tracking

Sean Tager

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Tags: Algorithms, Computer science, Filtering, Thesis

October 13, 2013 by hgpu

3D Non-Local Means denoising via multi-GPU

Giuseppe Palma, Francesco Piccialli, Pasquale De Michele, Salvatore Cuomo, Marco Comerci, Pasquale Borrelli, Bruno Alfano

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Signal denoising, Tesla S2050

October 4, 2013 by hgpu

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

Priyank Trivedi, Tejaswi Agarwal, K. Muthunagai

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Tags: Computer science, Computer vision, Consensus, CUDA, Filtering, Monte Carlo simulation, nVidia

October 4, 2013 by hgpu

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

Austin Aaron Dworaczyk Wiltshire

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 780, nVidia GeForce GTX Titan, Thesis

October 2, 2013 by hgpu

Fast, parallel implementation of particle filtering on the GPU architecture

Anna Gelencser-Horvath, Gabor Janos Tornai, Andras Horvath, Gyorgy Cserey,

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 550 Ti, Particle filtering

September 28, 2013 by hgpu

Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

A. Hirano, K. Nakayama

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Tags: CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, Signal processing

September 5, 2013 by hgpu

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

I. Vidal-Migallón, O. Commowick, X. Pennec, J. Dauguet, T Vercauteren

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Tags: ATI Radeon HD 6970, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 650, OpenCL

September 5, 2013 by hgpu

Accurate and Efficient Filtering using Anistropic Filter Decomposition

Cyril Soler, Mahdi M. Bagher, Derek Nowrouzezahrai

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 670, Rendering

September 2, 2013 by hgpu

Serial and Parallel Bayesian Spam Filtering using Aho-Corasick and PFAC

Saima Haseeb, Mahak Motwani, Amit Saxena

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Bayesian, Computer science, Filtering, OpenCL, Security, String matching

August 23, 2013 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

High Performance Computing Image Analysis for Radiotherapy Planning

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

Computer Tomography and Ultrasonography Image Registration Based on the Cooperation of GPU and CPU

GPU-Specfic Kalman Filtering and Retrodiction for Large-Scale Target Tracking

3D Non-Local Means denoising via multi-GPU

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

Fast, parallel implementation of particle filtering on the GPU architecture

Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

GPU & CPU implementation of Young – Van Vliet’s Recursive Gaussian Smoothing Filter

Accurate and Efficient Filtering using Anistropic Filter Decomposition

Serial and Parallel Bayesian Spam Filtering using Aho-Corasick and PFAC

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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