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Parallelization of calculations using GPU in optimization approach for macromodels construction

Petro Stakhiv, Iryna Strubytska, Yuriy Kozak

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTS 250, Optimization

May 7, 2012 by hgpu

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

Nathan Bell, Steven Dalton, Luke N. Olson

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Source codes

Tags: Algorithms, CUDA, Mathematics, nVidia, Package, Sparse matrix, Tesla C2050

April 11, 2012 by hgpu

Modular Arithmetic for Solving Linear Equations on the GPU

J. Hladik, I. Simecek

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Tags: Algorithms, Linear Algebra, Mathematics, Modular arithmetic, nVidia, OpenCL

April 11, 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 acceleration of the particle filter: the Metropolis resampler

Lawrence Murray

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Tags: CUDA, Mathematics, nVidia, Statistics, Tesla S2050

March 1, 2012 by hgpu

Solving Bivariate Polynomial Systems on a GPU

Marc Moreno Maza, Wei Pan

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Tags: Algorithms, CUDA, FFT, Mathematics, nVidia, nVidia GeForce GTX 285, Optimization, Probability, Tesla C2050

January 25, 2012 by hgpu

GPU-based parallel solver via the Kantorovich theorem for the nonlinear Bernstein polynomial systems

Feifei Wei, Jieqing Feng, Hongwei Lin

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Tags: Algorithms, CUDA, Mathematics, Nonlinear Sciences, nVidia, nVidia GeForce GTX 280

January 13, 2012 by hgpu

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Davor Davidovic, Enrique S. Quintana-Orti

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, Mathematics, nVidia, Tesla C2050

January 6, 2012 by hgpu

High-performance polynomial GCD computations on graphics processors

Pavel Emeliyanenko

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Tags: Algorithms, CUDA, Mathematics, Modular arithmetic, nVidia, nVidia GeForce GTX 580

December 16, 2011 by hgpu

GPU-based solution of Continuous Time Markov Chains using CUSP

Nicholas Dingle

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Tags: CUDA, Mathematics, nVidia, Probability, Tesla C2050

December 7, 2011 by hgpu

Efficient Two-Level Preconditionined Conjugate Gradient Method on the GPU

Rohit Gupta, Martin B. van Gijzen, Kees Vuik

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Tags: Algorithms, Conjugate gradient solver, CUDA, Mathematics, nVidia, Tesla C2070

December 7, 2011 by hgpu

Efficiently Computing Tensor Eigenvalues on a GPU

Grey Ballard, Tamara Kolda, Todd Plantenga

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Tags: Algorithms, CUDA, Mathematics, nVidia, Tesla C2050

November 12, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Parallelization of calculations using GPU in optimization approach for macromodels construction

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

Modular Arithmetic for Solving Linear Equations on the GPU

Developing a CUDA solver for large sparse matrices for MARIN

GPU acceleration of the particle filter: the Metropolis resampler

Solving Bivariate Polynomial Systems on a GPU

GPU-based parallel solver via the Kantorovich theorem for the nonlinear Bernstein polynomial systems

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

High-performance polynomial GCD computations on graphics processors

GPU-based solution of Continuous Time Markov Chains using CUSP

Efficient Two-Level Preconditionined Conjugate Gradient Method on the GPU

Efficiently Computing Tensor Eigenvalues on a GPU

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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