Computational Physics | Page 15

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Kinetics of liquid-solid phase transition in large nickel clusters

Alexander V. Yakubovich, Gennady Sushko, Stefan Schramm, Andrey V. Solov'yov

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, Mesoscale and Nanoscale Physics, Molecular dynamics, OpenCL, Phase transition, Physics, Solidification

October 15, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

GPU in Physics Computation: Case Geant4 Navigation

Otto Seiskari, Jukka Kommeri, Tapio Niemi

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 470, Physics

September 25, 2012 by hgpu

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Chunsheng Feng, Shi Shu, Jinchao Xu, Chen-Song Zhang

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Tags: Computational Physics, CUDA, Differential equations, FFT, Heterogeneous systems, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Poisson equation

August 22, 2012 by hgpu

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

B. Cloutier, B. K. Muite, P. Rigge

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Source codes

Tags: Benchmarking, Computational Physics, CUDA, FFT, Fortran, Mathematical Software, nVidia, OpenACC, Package, Physics, Spectral methods, Tesla M2070

August 14, 2012 by hgpu

Accelerating cellular automata simulations using AVX and CUDA

Sebastian Szkoda, Zbigniew Koza, Mateusz Tykierko

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Tags: Cellular automata, Computational Physics, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, Tesla M2075

August 14, 2012 by hgpu

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Peter Wittek, Fernando M. Cucchietti

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Source codes

Tags: Computational Physics, CUDA, MPI, nVidia, Package, Physics, Quantum Physics, Tesla M2090

August 14, 2012 by hgpu

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Yukihiro Komura, Yutaka Okabe

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2050

August 13, 2012 by hgpu

A fully parallel, high precision, N-body code running on hybrid computing platforms

R. Capuzzo-Dolcetta, M. Spera, D. Punzo

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Source codes

Tags: Astrophysics, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Computational Physics, Gravitation, Hybrid computing, Instrumentation and Methods for Astrophysics, MPI, N-body simulation, nVidia, OpenCL, Package, Tesla M2070

July 11, 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

Solving the Vlasov equation for one-dimensional models with long range interactions on a GPU

Tarcisio M. Rocha Filho

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 590, Physics, Statistical Mechanics

June 18, 2012 by hgpu

Solving the Ghost-Gluon System of Yang-Mills Theory on GPUs

Markus Hopfer, Reinhard Alkofer, Gundolf Haase

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Tags: Computational Physics, CUDA, High Energy Physics - Phenomenology, High Energy Physics - Theory, Integral equations, nVidia, nVidia GeForce GTX 560 Ti, OpenMPI, Physics, QCD, Tesla C2070

June 11, 2012 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

See all packages

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high performance computing on graphics processing units: hgpu.org

Kinetics of liquid-solid phase transition in large nickel clusters

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

GPU in Physics Computation: Case Geant4 Navigation

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

Accelerating cellular automata simulations using AVX and CUDA

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

A fully parallel, high precision, N-body code running on hybrid computing platforms

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

Solving the Vlasov equation for one-dimensional models with long range interactions on a GPU

Solving the Ghost-Gluon System of Yang-Mills Theory on GPUs

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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