high performance computing on graphics processing units: hgpu.org

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High-Performance Holistic XML Twig Filtering Using GPUs

Ildar Absalyamov, Roger Moussalli, Walid Najjar, Vassilis Tsotras

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Tags: Computer science, CUDA, Filtering, nVidia, Tesla C2075, Tesla K20

August 9, 2013 by hgpu

Implementation of Filtering Beamforming Algorithms for Sonar Devices Using GPU

Shahrokh Kamali

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Tags: CUDA, Filtering, nVidia, nVidia GeForce GTX 690, Signal processing, Thesis

July 24, 2013 by hgpu

GPU Based Implementation of Recursive Digital Filtering Algorithms

Dong-hwan Lee, Wonyong Sung

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Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

July 15, 2013 by hgpu

Point-wise Adaptive Filtering for Fast Monte Carlo Noise Reduction

Jie Guo, Jingui Pan

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTS 250, Rendering

June 28, 2013 by hgpu

GPU Implementation of the Particle Filter

Joakim Gebart

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 570, Particle filtering, Pseudo-random number generators, Thesis

June 24, 2013 by hgpu

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Jianting Zhang, Simin You

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Filtering, Geoscience, nVidia, nVidia Quadro FX 6000, Performance

May 19, 2013 by hgpu

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Sumedh Naik

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Tags: ATI Radeon HD 5870, Computer science, CUDA, Filtering, Image processing, MPI, nVidia, OpenCL, Tesla C2050, Thesis

April 22, 2013 by hgpu

Wire Speed Name Lookup: A GPU-based Approach

Yi Wang, Yuan Zu, Ting Zhang, Kunyang Peng, Qunfeng Dong, Bin Liu, Wei Meng, Huichen Dai, Xin Tian, Zhonghu Xu, Hao Wu, Di Yang

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Tags: Computer science, CUDA, Filtering, Networks, nVidia, nVidia GeForce GTX 590

April 12, 2013 by hgpu

Adapting Particle Filter Algorithms to Many-Core Architectures

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Source codes

Tags: Algorithms, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Bayesian, Computer science, Computer vision, CUDA, Filtering, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Particle filtering

April 4, 2013 by hgpu

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Christian B. Mendl, Steven Eliuk, Michelle Noga, Pierre Boulanger

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Tags: Computed tomography, CT, CUDA, DirectX, Filtering, HLSL, Medicine, nVidia, nVidia Quadro FX 4000, Tomography

March 12, 2013 by hgpu

Fast Positron Range Calculation in Heterogeneous Media for 3D PET Reconstruction

Laszlo Szirmay-Kalos, Milan Magdics, Balazs Toth, Balazs Csebfalvi, Tamas Umenhoffer, Judit Lantos, Gergely Patay

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Tags: Computer science, CUDA, Filtering, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, PET, Probability

January 20, 2013 by hgpu

Scan Test Power Simulation on GPGPUs

S. Holst, E. Schneider, H.-J. Wunderlich

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Tags: Computer science, CUDA, Energy-efficient computing, Filtering, nVidia

January 18, 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 Holistic XML Twig Filtering Using GPUs

Implementation of Filtering Beamforming Algorithms for Sonar Devices Using GPU

GPU Based Implementation of Recursive Digital Filtering Algorithms

Point-wise Adaptive Filtering for Fast Monte Carlo Noise Reduction

GPU Implementation of the Particle Filter

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Wire Speed Name Lookup: A GPU-based Approach

Adapting Particle Filter Algorithms to Many-Core Architectures

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Fast Positron Range Calculation in Heterogeneous Media for 3D PET Reconstruction

Scan Test Power Simulation on GPGPUs

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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