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Implementation of a PIC simulation using WebGL

Leonard Weydemann

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Tags: Computer science, GLSL, Java, nVidia, nVidia GeForce GT 310, nVidia GeForce GTX 760 M, OpenGL, Particle-in-cell methods, Thesis

May 3, 2014 by hgpu

Visualizing the Radiation of the Kelvin-Helmholtz Instability

Axel Huebl, David Pugmire, Felix Schmitt, Richard Pausch, Michael Bussmann

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Tags: CUDA, nVidia, Package, Particle-in-cell methods, Physics, Plasma physics, Visualization

April 11, 2014 by hgpu

Reduced Vlasov-Maxwell simulations

Philippe Helluy, Laurent Navoret, Nhung Pham, Anais Crestetto

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Tags: Electrodynamics, Hyperbolic system, Maxwell's equations, OpenCL, Particle-in-cell methods

March 12, 2014 by hgpu

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

R. F. Bird, S. J. Pennycook, S. A. Wright, S. A. Jarvis

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Tags: Algorithms, Computer science, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060, Tesla C2050, Tesla K20

November 10, 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

Implementation and performance evaluation of a GPU particle-in-cell code

Joshua Estes Payne

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Tags: CUDA, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 590, Particle-in-cell methods, Physics, Thesis

February 20, 2013 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

Resolution of the Vlasov-Maxwell system by PIC Discontinuous Galerkin method on GPU with OpenCL

Anais Crestetto, Philippe Helluy

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Tags: ATI, ATI Radeon HD 5750, Electrodynamics, Maxwell's equations, nVidia, nVidia GeForce GTX 470, OpenCL, Particle-in-cell methods

September 24, 2012 by hgpu

Acceleration of PIC Simulation with GPU

Junya Suzuki, Hironori Shimazu, Keiichiro Fukazawa, Mitsue Den

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

December 29, 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

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

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

Implementation of a PIC simulation using WebGL

Visualizing the Radiation of the Kelvin-Helmholtz Instability

Reduced Vlasov-Maxwell simulations

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

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

Implementation and performance evaluation of a GPU particle-in-cell code

Numerical resolution of conservation laws with OpenCL

Resolution of the Vlasov-Maxwell system by PIC Discontinuous Galerkin method on GPU with OpenCL

Acceleration of PIC Simulation with GPU

Gyrokinetic Toroidal Simulations on Leading Multi-and Manycore HPC Systems

Particle Simulation on a GPU with PyCUDA

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

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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