high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Optimizing Performance of Stencil Code with SPL Conqueror

Alexander Grebhahn, Norbert Siegmund, Sven Apel, Sebastian Kuckuk, Christian Schmitt, Harald Kostler

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Tags: Computer science, CUDA, Differential equations, Finite difference, Image processing, nVidia, OpenCL, Package, Partial differential equations, PDEs, Tesla K20

February 17, 2014 by hgpu

Interactive Design Exploration for Constrained Meshes

Bailin Deng, Sofien Bouaziz, Mario Deuss, Alexandre Kaspar, Yuliy Schwartzburg, Mark Pauly

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Tags: Algorithms, CAD, Computational Geometry, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

February 17, 2014 by hgpu

Efficient pseudo-random number generation for monte-carlo simulations using graphic processors

Siddhant Mohanty, A K Mohanty, F Carminati

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Tags: Algorithms, Computer science, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, OpenCL, Pseudo-random number generators

February 17, 2014 by hgpu

Resolution of Linear Algebra for the Discrete Logarithm Problem using GPU and Multi-core Architectures

Hamza Jeljeli

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 680, OpenMPI, Security, Tesla M2050

February 17, 2014 by hgpu

Fast American Basket Option Pricing on a multi-GPU Cluster

Michael Benguigui, Francoise Baude

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Tags: Finance, GPU cluster, Machine learning, nVidia, OpenCL, Option pricing, Tesla M2050, Tesla M2075, Tesla S1070

February 17, 2014 by hgpu

Towards Porting a Real-World Seismological Application to the Intel MIC Architecture

V. Weinberg, M. Allalen, G. Brietzke

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Tags: Earth and Space Sciences, Fortran, Geoscience, Heterogeneous systems, Intel Xeon Phi, MPI, Seismology

February 16, 2014 by hgpu

Direct Numerical Simulation and Large Eddy Simulation on a Turbulent Wall-Bounded Flow Using Lattice Boltzmann Method and Multiple GPUs

Xian Wang, Yanqin Shangguan, Hiromichi KOBAYASHI, Takayuki AOKI, Naoyuki Onodera

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla K20

February 16, 2014 by hgpu

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

Wenxiang Deng

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 570

February 16, 2014 by hgpu

Application of the Characteristic Basis Function Method using CUDA

Juan Ignacio Perez, Eliseo Garcia, Jose A. de Frutos, Felipe Catedra

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Tags: Computer science, CUDA, CULA, nVidia, Tesla C2075

February 16, 2014 by hgpu

LDetector: A Low Overhead Race Detector For GPU Programs

Pengcheng Li, Chen Ding, Xiaoyu Hu, Tolga Soyata

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Tags: Computer science, CUDA, nVidia, Performance, Tesla K20

February 16, 2014 by hgpu

Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths

Andrew Davidson, Sean Baxter, Michael Garland, John D. Owens

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 680, Package

February 15, 2014 by hgpu

GPGPUs: How to Combine High Computational Power with High Reliability

L. Bautista Gomez, F. Cappello, L. Carro, N. DeBardeleben, B. Fang, S. Gurumurthi, S. Keckler, K. Pattabiraman, P. Rech, M. Sonza Reorda

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Tags: Computer science, CUDA, Fault tolerance, nVidia, nVidia GeForce GTX 480, Tesla C2050

February 15, 2014 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

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high performance computing on graphics processing units: hgpu.org

Applications

Optimizing Performance of Stencil Code with SPL Conqueror

Interactive Design Exploration for Constrained Meshes

Efficient pseudo-random number generation for monte-carlo simulations using graphic processors

Resolution of Linear Algebra for the Discrete Logarithm Problem using GPU and Multi-core Architectures

Fast American Basket Option Pricing on a multi-GPU Cluster

Towards Porting a Real-World Seismological Application to the Intel MIC Architecture

Direct Numerical Simulation and Large Eddy Simulation on a Turbulent Wall-Bounded Flow Using Lattice Boltzmann Method and Multiple GPUs

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

Application of the Characteristic Basis Function Method using CUDA

LDetector: A Low Overhead Race Detector For GPU Programs

Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths

GPGPUs: How to Combine High Computational Power with High Reliability

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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