high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Real-Time All-in-Focus Video-Based Rendering Using A Network Camera Array

Yuichi Taguchi, Keita Takahashi, Takeshi Naemura

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Tags: Algorithms, Cg, Computer science, Image generation, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Real-time graphics, Rendering

August 9, 2011 by hgpu

Performance Evaluation of Feature Extraction Algorithm on GPGPU

Namdev Sawant, Dinesh Kulkarni

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, Tesla C1060

August 9, 2011 by hgpu

Matrix Multiplication on GPUs with On-Line Fault Tolerance

Chong Ding, Christer Karlsson, Hui Liu, Teresa Davies, Zizhong Chen

Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication

August 9, 2011 by hgpu

Optimization of parallel Genetic Algorithms for nVidia GPUs

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming, nVidia, Optimization, Review, Tesla C1060

August 9, 2011 by hgpu

In-process optical characterization method for sub-100-nm nanostructures

S. Kiess, M.Z. Shaikh, M. Gregoire, T. Bringewat, S. Simon, A. Tausendfreund, M. Zimmermann, G. Goch

Tags: Algorithms, Mesoscale and Nanoscale Physics, Optics, Physics

August 9, 2011 by hgpu

The distributed diagonal force decomposition method for parallelizing molecular dynamics simulations

Urban Borstnik, Benjamin T. Miller, Bernard R. Brooks, Dusanka Janezic

Tags: Algorithms, Chemistry, Computational chemistry, Molecular dynamics, Performance

August 8, 2011 by hgpu

Structural, dynamic, and electrostatic properties of fully hydrated DMPC bilayers from molecular dynamics simulations accelerated with graphical processing units (GPUs)

Narayan Ganesan, Brad A. Bauer, Timothy R. Lucas, Sandeep Patel, Michela Taufer

Tags: Algorithms, Chemistry, Computational chemistry, Electrostatic potential, Electrostatics, Molecular dynamics

August 8, 2011 by hgpu

On the GPGPU parallelization issues of finite element approximate inverse preconditioning

C. K. Filelis-Papadopoulos, G. A. Gravvanis, P. I. Matskanidis, K. M. Giannoutakis

Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, Sparse linear iterative solvers

August 8, 2011 by hgpu

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

Nicolas Soca, Jose Luis Blengio, Martin Pedemonte, Pablo Ezzatti

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Metaheuristics, nVidia, nVidia GeForce 9800 GTX, Optimization

August 7, 2011 by hgpu

A convex formulation for color image segmentation in the context of passive emitter localization

Marek Schikora, Miriam Hage, Eicke Ruthotto, Klaus Wild

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

August 7, 2011 by hgpu

A pure vision-based approach to topological SLAM

Wen Lik Dennis Lui, Ray Jarvis

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optical flow, Wavelet

August 7, 2011 by hgpu

Geodesic tree-based dynamic programming for fast stereo reconstruction

Chin-Hong Sin, Chia-Ming Cheng, Shang-Hong Lai, Shan-Yung Yang

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Tags: Algorithms, Computer science, Distance transform, Geodesic Distances, nVidia, nVidia GeForce 9800 GT

August 7, 2011 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

Real-Time All-in-Focus Video-Based Rendering Using A Network Camera Array

Performance Evaluation of Feature Extraction Algorithm on GPGPU

Matrix Multiplication on GPUs with On-Line Fault Tolerance

Optimization of parallel Genetic Algorithms for nVidia GPUs

In-process optical characterization method for sub-100-nm nanostructures

The distributed diagonal force decomposition method for parallelizing molecular dynamics simulations

Structural, dynamic, and electrostatic properties of fully hydrated DMPC bilayers from molecular dynamics simulations accelerated with graphical processing units (GPUs)

On the GPGPU parallelization issues of finite element approximate inverse preconditioning

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

A convex formulation for color image segmentation in the context of passive emitter localization

A pure vision-based approach to topological SLAM

Geodesic tree-based dynamic programming for fast stereo reconstruction

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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