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GPU-based Line Probing Techniques for Mikami Routing Algorithm

Chiu-Yi Chan, Jiun-Li Lin, Lung-Sheng Chien, Tsung-Yi Ho, Yi-Yu Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

April 7, 2012 by hgpu

Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units

Yaodong Zhang, Kiarash Adl, James Glass

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Tags: Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 580

April 6, 2012 by hgpu

A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

Dan Chen, Lizhe Wang, Dong Cui, Dongchuan Lu, Xiaoli Li, Samee U. Khan, Joanna Kolodziej

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Tags: CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 580

March 29, 2012 by hgpu

Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees

James Bergstra, Nicolas Pinto, David Cox

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Tags: Computer science, CUDA, Filtering, Machine learning, Matrix multiplication, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Optimization, Tesla C1060, Tesla C2070

March 29, 2012 by hgpu

A Parallel Access Method for Spatial Data Using GPU

Byoung-Woo Oh

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 580

March 26, 2012 by hgpu

Parallel Sparse Linear Algebra for Multi-core and Many-core Platforms: Parallel Solvers and Preconditioners

Dimitar Lukarski

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Tags: Algorithms, Computer science, CUDA, Differential equations, Factorization, FEM, Finite difference, Finite element method, Linear Algebra, nVidia, nVidia GeForce GTX 580, Partial differential equations, PDEs, Sparse matrix, Tesla M1060, Tesla S1070, Thesis

March 16, 2012 by hgpu

Developing a CUDA solver for large sparse matrices for MARIN

Martijn de Jong

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Tags: Computer science, CUDA, Mathematics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, nVidia Quadro NVS 295, Thesis

March 16, 2012 by hgpu

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

Salih Cihan Tek, Muhittin Gokmen

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

March 11, 2012 by hgpu

CUDA Accelerated Face Recognition Using Local Binary Patterns

Salih Cihan Tek, Muhittin Gokmen

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image recognition, Nearest neighbour, nVidia, nVidia GeForce GTX 580

March 10, 2012 by hgpu

NLSEmagic: Nonlinear Schrodinger Equation Multidimensional Matlab-based GPU-accelerated Integrators using Compact High-order Schemes

Ronald M. Caplan

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Source codes

Tags: Computational Physics, Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 580, Package

March 9, 2012 by hgpu

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Sorting

February 24, 2012 by hgpu

Use of Multiple GPUs on Shared Memory Multiprocessors for Ultrasound Propagation Simulations

Jiri Jaros, Bradley E. Treeby, Alistair P. Rendell

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Tags: CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 580, Ultrasound

February 23, 2012 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

* * *

high performance computing on graphics processing units: hgpu.org

GPU-based Line Probing Techniques for Mikami Routing Algorithm

Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units

A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees

A Parallel Access Method for Spatial Data Using GPU

Parallel Sparse Linear Algebra for Multi-core and Many-core Platforms: Parallel Solvers and Preconditioners

Developing a CUDA solver for large sparse matrices for MARIN

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

CUDA Accelerated Face Recognition Using Local Binary Patterns

NLSEmagic: Nonlinear Schrodinger Equation Multidimensional Matlab-based GPU-accelerated Integrators using Compact High-order Schemes

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

Use of Multiple GPUs on Shared Memory Multiprocessors for Ultrasound Propagation Simulations

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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