high performance computing on graphics processing units: hgpu.org

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Regularization and nonlinearities for neural language models: when are they needed?

Marius Pachitariu, Maneesh Sahani

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Tags: CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 680, Statistics

January 25, 2013 by hgpu

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

Weihua Geng, Ferosh Jacob

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Tags: Biomolecules, CUDA, Electrostatics, Linear Algebra, Mathematics, Molecular surface, Numerical Analysis, nVidia, Poisson Boltzmann, Tesla M2070

January 25, 2013 by hgpu

Rethinking resampling in the particle filter on graphics processing units

Lawrence M. Murray, Anthony Lee, Pierre E. Jacob

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Tags: CUDA, nVidia, Particle filtering, Statistics, Tesla S2050

January 18, 2013 by hgpu

Heat Load Modelling for District Heating Plants Using an OpenCL-based Algorithm

Erik Kral, Petr Capek, Lubomir Vasek

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Tags: Algorithms, Mathematics, nVidia, nVidia GeForce GT 310 M, OpenCL

January 8, 2013 by hgpu

Fast Poisson Solvers for Graphics Processing Units

Mirko Myllykoski, Tuomo Rossi, Jari Toivanen

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Tags: Algorithms, Mathematics, nVidia, nVidia GeForce GTX 580, OpenCL, Poisson equation

January 3, 2013 by hgpu

Fast Retinal Vessel Analysis

Michael Krause, Ralph Maria Alles, Bernhard Burgeth, Joachim Weickert

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Tags: Algorithms, CUDA, Image processing, Mathematics, Medicine, nVidia, nVidia GeForce GTX 680, Radon transform

December 29, 2012 by hgpu

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Peter Richtarik, Martin Takac, Selin Damla Ahipasaoglu

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Source codes

Tags: CUBLAS, CUDA, Machine learning, nVidia, Package, Statistics

December 18, 2012 by hgpu

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

Hrag Gorune Krikor Ohannessian

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Tags: Acoustics, CUDA, Differential equations, Finite volume method, Hyperbolic PDEs, Mathematics, nVidia, nVidia GeForce GTX 460, Partial differential equations, PDEs, Tesla C2050, Wave equation

December 12, 2012 by hgpu

Fully Parallel Particle Learning for GPGPUs and Other Parallel Devices

Kenichiro McAlinn, Hiroaki Katsura, Teruo Nakatsuma

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Tags: Algorithms, Bayesian, CUDA, nVidia, nVidia GeForce GTX 580, Particle filtering, Statistics

December 10, 2012 by hgpu

Numerical resolution of conservation laws with OpenCL

Anais Crestetto, Philippe Helluy, Jonathan Jung

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Tags: ATI, ATI Radeon HD 5850, Mathematics, Maxwell's equations, Numerical simulation, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 320 M, nVidia GeForce GTX 470, OpenCL, Particle-in-cell methods

December 2, 2012 by hgpu

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Simen Andreas Andreassen Lonsethagen

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Tags: CUDA, Finite difference, Linear Algebra, Mathematics, nVidia, nVidia GeForce GTX 570, Thesis

November 20, 2012 by hgpu

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Charis Harley

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Tags: Algorithms, CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, Partial differential equations, PDEs

November 1, 2012 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

Regularization and nonlinearities for neural language models: when are they needed?

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

Rethinking resampling in the particle filter on graphics processing units

Heat Load Modelling for District Heating Plants Using an OpenCL-based Algorithm

Fast Poisson Solvers for Graphics Processing Units

Fast Retinal Vessel Analysis

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

Fully Parallel Particle Learning for GPGPUs and Other Parallel Devices

Numerical resolution of conservation laws with OpenCL

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

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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