high performance computing on graphics processing units: hgpu.org

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A Massively Parallel Adaptive Fast Multipole Method on Heterogeneous Architectures

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin, George Biros

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Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, MPI, nVidia, Programming techniques, Tesla M2070

July 5, 2012 by hgpu

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

Rio Yokota, L. A. Barba

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Source codes

Tags: Computational Physics, Computer science, CUDA, Fast multipole method, FFT, Fluid dynamics, N-body simulation, Numerical Analysis, Numerical simulation, nVidia, Package, Spectral methods, Tesla C2070, Tesla M2050

June 21, 2012 by hgpu

Scaling Fast Multipole Methods up to 4000 GPUs

Rio Yokota, Lorena Barba, Tetsu Narumi, Kenji Yasuoka

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, MPI, N-body simulation, nVidia, Tesla M2050

June 9, 2012 by hgpu

Pipelining the Fast Multipole Method over a Runtime System

Emmanuel Agullo, Beranger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Takahashi Toru

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Tags: Algorithms, Computer science, Fast multipole method, Heterogeneous systems, nVidia, Physics, Tesla M2070, Tesla M2090

June 4, 2012 by hgpu

Adaptive fast multipole methods on the GPU

Anders Goude, Stefan Engblom

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Tags: Computer science, CUDA, Data Structures and Algorithms, Fast multipole method, nVidia, Package, Tesla C2075

May 23, 2012 by hgpu

Scalable Distributed Fast Multipole Methods

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla C2050

May 12, 2012 by hgpu

Fast Multipole Methods and High Performance Computing

Cristopher Ratkevich Cecka

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Tags: CUDA, Electrodynamics, Fast multipole method, nVidia, Package, Tesla C1060, Tesla C2050, Thesis

February 26, 2012 by hgpu

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Rio Yokota, L. A. Barba

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Tags: Algorithms, Astrophysics, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, Physics, Tesla M2050

January 8, 2012 by hgpu

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, nVidia GeForce GTX 480, Tesla C2050, Tesla S1070

December 29, 2011 by hgpu

Optimizing the multipole-to-local operator in the fast multipole method for graphical processing units

Toru Takahashi1, Cris Cecka, William Fong, Eric Darve

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Tags: Algorithms, CUDA, Fast multipole method, nVidia, Package, Physics, Tesla C1060, Tesla C2050

November 18, 2011 by hgpu

Toward improved aeromechanics simulations using recent advancements in scientific computing

Qi Hu, Monica Syal, Nail Gumerov, Ramani Duraiswami, J. Gordon Leishman

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Tags: Algorithms, Cloud, CUDA, Fast multipole method, Fluid dynamics, nVidia

November 14, 2011 by hgpu

Fast N-body Simulations on GPUs

Rio Yokota, Lorena A. Barba

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Tags: Algorithms, Astrophysics, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Mathematical Software, N-body simulation, Numerical Analysis, nVidia, Tesla C2050, Tesla M2050

October 18, 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

A Massively Parallel Adaptive Fast Multipole Method on Heterogeneous Architectures

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

Scaling Fast Multipole Methods up to 4000 GPUs

Pipelining the Fast Multipole Method over a Runtime System

Adaptive fast multipole methods on the GPU

Scalable Distributed Fast Multipole Methods

Fast Multipole Methods and High Performance Computing

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Optimizing the multipole-to-local operator in the fast multipole method for graphical processing units

Fast N-body Simulations on GPUs

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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