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Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Naohito Nakasato, Go Ogiya, Yohei Miki, Masao Mori, Ken'ichi Nomoto

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 6530, ATI Radeon HD 7970, Computational Physics, Heterogeneous systems, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenCL, Particle simulation, PC cluster, Tesla M2090

June 8, 2012 by hgpu

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Algorithms, Astrophysics, Cluster computing, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla S1070

June 6, 2012 by hgpu

Landau Gauge Fixing on GPUs

Nuno Cardoso, Paulo J. Silva, Pedro Bicudo, Orlando Oliveira

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Package, Physics, Tesla C2070

June 5, 2012 by hgpu

An open source MATLAB program for fast numerical Feynman integral calculations for open quantum system dynamics on GPUs

Nikesh S. Dattani

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Tags: Chemical Physics, Computational Physics, Mathematical Physics, nVidia, Physics, Quantum Physics, Tesla C2070

June 1, 2012 by hgpu

GPU-accelerated simulation of colloidal suspensions with direct hydrodynamic interactions

Michael Kopp, Felix Hofling

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, nVidia, Package, Physics, Tesla C2050, Tesla S1070

May 30, 2012 by hgpu

Examining the Analytic Structure of Green’s Functions: Massive Parallel Complex Integration using GPUs

Andreas Windisch, Reinhard Alkofer, Gundolf Haase, Manfred Liebmann

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Tags: Algorithms, Computational Physics, CUDA, Fortran, High Energy Physics - Phenomenology, High Energy Physics - Theory, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla C2070

May 4, 2012 by hgpu

Optimized GPU simulation of continuous-spin glass models

Taras Yavors'kii, Martin Weigel

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Tags: Computational Physics, CUDA, Disordered Systems and Neural Networks, Heisenberg model, nVidia, nVidia GeForce GTX 480, Physics, Statistical Mechanics

May 1, 2012 by hgpu

Random number generators for massively parallel simulations on GPU

Markus Manssen, Martin Weigel, Alexander K. Hartmann

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Lattice, Molecular dynamics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics, Pseudo-random number generators, Review, Statistical Mechanics

May 1, 2012 by hgpu

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Rafael Ponce, Miguel Cardenas-Montes, Juan Jose Rodriguez-Vazquez, Eusebio Sanchez, Ignacio Sevilla

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Tags: Algorithms, Astrophysics, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia GeForce GTX 295, Package, Tesla C1060, Tesla C2050

May 1, 2012 by hgpu

Polymer Field-Theory Simulations on Graphics Processing Units

Kris T. Delaney, Glenn H. Fredrickson

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Tags: Computational Physics, CUDA, Field equations, MPI, nVidia, Physics, Polymer Systems, Soft Condensed Matter, Statistical Mechanics, Tesla C2050

April 25, 2012 by hgpu

Exact diagonalization of the Hubbard model on graphics processing units

Topi Siro, Ari Harju

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Tesla M2070

April 17, 2012 by hgpu

GPGPU for orbital function evaluation with a new updating scheme

Yutaka Uejima, Ryo Maezono

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 480, Physics, QMC

April 6, 2012 by hgpu

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

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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

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high performance computing on graphics processing units: hgpu.org

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Landau Gauge Fixing on GPUs

An open source MATLAB program for fast numerical Feynman integral calculations for open quantum system dynamics on GPUs

GPU-accelerated simulation of colloidal suspensions with direct hydrodynamic interactions

Examining the Analytic Structure of Green’s Functions: Massive Parallel Complex Integration using GPUs

Optimized GPU simulation of continuous-spin glass models

Random number generators for massively parallel simulations on GPU

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Polymer Field-Theory Simulations on Graphics Processing Units

Exact diagonalization of the Hubbard model on graphics processing units

GPGPU for orbital function evaluation with a new updating scheme

Recent source codes

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

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

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