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Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs, Physics, Plasma physics, Review

December 23, 2011 by hgpu

Gyrokinetic Toroidal Simulations on Leading Multi-and Manycore HPC Systems

Kamesh Madduri, Khaled Z. Ibrahim, Samuel Williams, Eun-Jin Im, Stephane Ethier, John Shalf, Leonid Oliker

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Tags: CUDA, Fortran, Hybrid computing, MPI, nVidia, OpenMP, Optimization, Particle-in-cell methods, Physics, Plasma physics, Tesla C2050

December 11, 2011 by hgpu

Particle Simulation on a GPU with PyCUDA

Min Ragan-Kelley

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Tags: CUDA, nVidia, nVidia GeForce GTX 260, Particle simulation, Particle-in-cell methods, Physics, Plasma physics, Python, Tesla C1060

December 10, 2011 by hgpu

High Performance Iterative Solver for Linear System using Multi GPU

Soichiro Ikuno, Norihisa Fujita, Yuki Kawaguchi, Taku Itoh, Susumu Nakata, Kota Watanabe, Hiroyuki Nakamura

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Tags: CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 480, Physics, Plasma physics

November 26, 2011 by hgpu

Fine-grained parallelization of a Vlasov-Poisson application on GPU

Guillaume Latu

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 260, Physics, Plasma physics, Tesla S1070

November 25, 2011 by hgpu

An efficient mixed-precision, hybrid CPU-GPU implementation of a fully implicit particle-in-cell algorithm

Guangye Chen, Luis Chacon, Daniel C. Barnes

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Tags: Algorithms, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 580, Optimization, Particle-in-cell methods, Physics, Plasma physics

November 23, 2011 by hgpu

Efficient GPU Implementation for Particle in Cell Algorithm

Rejith George Joseph, Girish Ravunnikutty, Sanjay Ranka, Eduardo D'Azevedo, Scott Klasky

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, Package, Particle-in-cell methods, Physics, Plasma physics, Tesla T10

November 13, 2011 by hgpu

Gyrofluid Modeling of Turbulent, Kinetic Physics

Kate Marie Despain

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Tags: CUDA, Fortran, MPI, nVidia, nVidia GeForce 9800 GTX, Package, Physics, Plasma physics

November 4, 2011 by hgpu

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

L. Lin, Chung-Sang Ng, A. Bhattacharjee

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Tags: Astrophysics, Computational Physics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, Plasma physics, Solar and Stellar Astrophysics, Spectral methods, Tesla C2050

September 29, 2011 by hgpu

E(A+M)PEC – An OpenCL Atomic and Molecular Plasma Emission Code For Interstellar Medium Simulations

Miguel A. de Avillez, Emanuele Spitoni, Dieter Breitschwerdt

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Tags: Astrophysics, Galaxy Astrophysics, High Energy Astrophysical Phenomena, nVidia, OpenCL, Plasma physics

September 27, 2011 by hgpu

A portable implementation of the radix sort algorithm in OpenCL

Philippe Helluy

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Tags: Algorithms, ATI, ATI Radeon HD 5850, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 470, OpenCL, Package, Particle-in-cell methods, Physics, Plasma physics, Sorting

September 24, 2011 by hgpu

Electromagnetic effects in capacitively coupled plasma simulated with a PIC-MCC darwin code

D. Eremin, T. Mussenbrock, R.-P. Brinkmann, M. Gebhardt

Tags: Electrodynamics, Maxwell's equations, nVidia, Particle-in-cell methods, Plasma physics

September 6, 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

Numerical solution of PDEs with hybrid and heterogeneous computing models

Gyrokinetic Toroidal Simulations on Leading Multi-and Manycore HPC Systems

Particle Simulation on a GPU with PyCUDA

High Performance Iterative Solver for Linear System using Multi GPU

Fine-grained parallelization of a Vlasov-Poisson application on GPU

An efficient mixed-precision, hybrid CPU-GPU implementation of a fully implicit particle-in-cell algorithm

Efficient GPU Implementation for Particle in Cell Algorithm

Gyrofluid Modeling of Turbulent, Kinetic Physics

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

E(A+M)PEC – An OpenCL Atomic and Molecular Plasma Emission Code For Interstellar Medium Simulations

A portable implementation of the radix sort algorithm in OpenCL

Electromagnetic effects in capacitively coupled plasma simulated with a PIC-MCC darwin code

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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