high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

N-Body Simulation Using GP-GPU: Evaluating Host/Device Memory Transference Overhead

Sergio M. Martin, Fernando G. Tinetti, Nicanor B. Casas, Graciela E. De Luca, Daniel A. Giulianelli

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Tags: Astrophysics, CUDA, Gravitation, N-body simulation, nVidia, nVidia GeForce GTX 550 Ti, Physics

November 3, 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

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

Ichitaro Yamazaki, Tingxing Dong, Raffaele Solca, Stanimire Tomov, Jack Dongarra, Thomas Schulthess

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla C2050, Tesla M2090

November 2, 2013 by hgpu

Adjoint Algorithmic Differentiation of a GPU Accelerated Application

Jacques du Toit, Johannes Lotz, Uwe Naumann

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Tags: Algorithms, Computer science, CUDA, Mixed precision, Monte Carlo simulation, nVidia, Tesla K20

November 2, 2013 by hgpu

An MPI-CUDA Implementation for the Compression of DEM

Zeng Fei, Chen Yumin

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Tags: CUDA, Discrete Wavelet Transform, Earth and Space Sciences, Geoscience, GPU cluster, MPI, nVidia, nVidia GeForce GT 650 M

November 2, 2013 by hgpu

Communication Optimization for Multi GPU Implementation of Smith-Waterman Algorithm

Sampath Kumar, P. K. Baruah

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Tags: Algorithms, Biology, Computational biology, CUDA, Databases, nVidia, Sequence matching, Smith-Waterman algorithm, Tesla M2050

November 2, 2013 by hgpu

GPU Accelerated Blood Flow Computation using the Lattice Boltzmann Method

Cosmin Nita, Lucian Mihai Itu, Constantin Suciu, Constantin Suciu

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Medicine, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 650, nVidia GeForce GTX 680

October 30, 2013 by hgpu

GPU-Based Image Segmentation Using Level Set Method With Scaling Approach

Zafer Guler, Ahmet Cinar

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Tags: Algorithms, CUDA, Image processing, MRI, nVidia, nVidia GeForce GTX 660 Ti, Partial differential equations, PDEs

October 30, 2013 by hgpu

An Evolutionary Approach to Parallel Computing Using GPU

Mohammad Naeemullah

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia

October 30, 2013 by hgpu

The Plasma Simulation Code: A modern particle-in-cell code with load-balancing and GPU support

Kai Germaschewski, William Fox, Narges Ahmadi, Liang Wang, Stephen Abbott, Hartmut Ruhl, Amitava Bhattacharjee

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Tags: Computational Physics, CUDA, nVidia, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060, Tesla K20

October 30, 2013 by hgpu

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Anshu Raina

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Tesla M2090, Thesis

October 30, 2013 by hgpu

Morphological Proximity Priors: Spatial Relationships for Semantic Segmentation

Julia Bergbauer, Claudia Nieuwenhuis, Mohamed Souiai, Daniel Cremers

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 680

October 29, 2013 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

N-Body Simulation Using GP-GPU: Evaluating Host/Device Memory Transference Overhead

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

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

Adjoint Algorithmic Differentiation of a GPU Accelerated Application

An MPI-CUDA Implementation for the Compression of DEM

Communication Optimization for Multi GPU Implementation of Smith-Waterman Algorithm

GPU Accelerated Blood Flow Computation using the Lattice Boltzmann Method

GPU-Based Image Segmentation Using Level Set Method With Scaling Approach

An Evolutionary Approach to Parallel Computing Using GPU

The Plasma Simulation Code: A modern particle-in-cell code with load-balancing and GPU support

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Morphological Proximity Priors: Spatial Relationships for Semantic Segmentation

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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