high performance computing on graphics processing units: hgpu.org

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Coupled Vlasov and two-fluid codes on GPUs

M. Rieke, T. Trost, R. Grauer

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Tags: Computational Physics, CUDA, Maxwell's equations, nVidia, Physics, Plasma physics

June 23, 2014 by hgpu

Mimetic Methods for Lagrangian Relaxation of Magnetic Fields

Simon Candelaresi, David Pontin, Gunnar Hornig

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Tags: Astrophysics, CUDA, nVidia, nVidia GeForce GTX 765, Physics, Plasma physics

May 6, 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

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

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Tilman Dannert, Andreas Marek, Markus Rampp

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Tags: Computational Physics, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Physics, Plasma physics, Solar and Stellar Astrophysics, Tesla K20

October 8, 2013 by hgpu

Plasma Visualization in Parallel using Particle Systems on Graphical Processing Units

Timothy S. Lyes, K. A. Hawick

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Tags: Computer science, CUDA, Electrostatics, nVidia, nVidia GeForce GTX 680, nVidia Quadro FX 4000, Plasma physics, Rendering, Visualization

June 4, 2013 by hgpu

Zero-copy I/O processing for low-latency GPU computing

Shinpei Kato, Jason Aumiller, Scott Brandt

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, nVidia, Plasma physics

April 16, 2013 by hgpu

Vlasov on GPU (VOG Project)

M. Mehrenberger, C. Steiner, L. Marradi, N. Crouseilles, E. Sonnendrucker, B. Afeyan

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Tags: FFT, Numerical simulation, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 470, OpenCL, Physics, Plasma physics, Tesla C2070

January 25, 2013 by hgpu

Report on the Feasibility of Implementing PIC Codes on a GPU

Joshua Payne

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Tags: CUDA, nVidia, nVidia GeForce GTX 470, Package, Physics, Plasma physics

January 7, 2012 by hgpu

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Noriyuki Kushida

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Finite difference, Optimization, Physics, Plasma physics

January 7, 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

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

Coupled Vlasov and two-fluid codes on GPUs

Mimetic Methods for Lagrangian Relaxation of Magnetic Fields

Visualizing the Radiation of the Kelvin-Helmholtz Instability

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

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Plasma Visualization in Parallel using Particle Systems on Graphical Processing Units

Zero-copy I/O processing for low-latency GPU computing

Vlasov on GPU (VOG Project)

Report on the Feasibility of Implementing PIC Codes on a GPU

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Acceleration of PIC Simulation with GPU

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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