high performance computing on graphics processing units: hgpu.org

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APEnet+: high bandwidth 3D torus direct network for petaflops scale commodity clusters

Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Pier Stanislao Paolucci, Davide Rossetti, Andrea Salamon, Gaetano Salina, Francesco Simula, Laura Tosoratto, Piero Vicini

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Tags: Computational Physics, Distributed computing, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, OpenMPI, Physics, QCD, Tesla C1060, Tesla M2050

February 21, 2011 by hgpu

MuMax: a new high-performance micromagnetic simulation tool

Arne Vansteenkiste, Ben Van de Wiele

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Tags: Computational Physics, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 580, Package, Physics

February 16, 2011 by hgpu

Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns

Rio Yokota, Jaydeep P. Bardhan, Matthew G. Knepley, L. A. Barba, Tsuyoshi Hamada

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Tags: Chemical Physics, Computational Physics, Computer science, CUDA, Electrostatics, Fast multipole method, Integral equations, nVidia, nVidia GeForce GTX 295, Package

February 14, 2011 by hgpu

Accelerating the solution of families of shifted linear systems with CUDA

Richard Galvez, Greg van Anders

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Package, Physics, Tesla S1070, Tesla T10

February 11, 2011 by hgpu

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Jens Breitbart, Gaurav Khanna

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 280, Package, Physics

January 18, 2011 by hgpu

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

Peter H. Colberg, Felix Hofling

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package, Physics, Soft Condensed Matter

January 18, 2011 by hgpu

Efficient spectral and pseudospectral algorithms for 3D simulations of whistler-mode waves in a plasma

Nail A. Gumerov, Alexey V. Karavaev, A. Surjalal Sharma, Xi Shao, Konstantinos D. Papadopoulos

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Tags: Algorithms, Computational Physics, nVidia, Physics, Plasma physics, Tesla C1060

January 14, 2011 by hgpu

Performance potential for simulating spin models on GPU

Martin Weigel

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Tags: Computational Physics, CUDA, Disordered Systems and Neural Networks, Heisenberg model, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics, Tesla C1060

January 12, 2011 by hgpu

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

Ezequiel E. Ferrero, Juan Pablo De Francesco, Nicolas Wolovick, Sergio A. Cannas

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

January 6, 2011 by hgpu

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

Kamran Karimi, Neil G. Dickson, Firas Hamze

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Physics

December 27, 2010 by hgpu

Accelerating the Fourier split operator method via graphics processing units

Heiko Bauke, Christoph H. Keitel

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Tags: Computational Physics, CUDA, FFT, nVidia, nVidia GeForce GTX 480, Physics, Quantum Physics, Tesla M2050

December 20, 2010 by hgpu

Pseudo-random number generators for Monte Carlo simulations on ATI Graphics Processing Units

Vadim Demchik

Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, Computational Physics, High Energy Physics - Lattice, Monte Carlo simulation, Physics, Pseudo-random number generators

December 13, 2010 by hgpu

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

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high performance computing on graphics processing units: hgpu.org

APEnet+: high bandwidth 3D torus direct network for petaflops scale commodity clusters

MuMax: a new high-performance micromagnetic simulation tool

Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns

Accelerating the solution of families of shifted linear systems with CUDA

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

Efficient spectral and pseudospectral algorithms for 3D simulations of whistler-mode waves in a plasma

Performance potential for simulating spin models on GPU

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

Accelerating the Fourier split operator method via graphics processing units

Pseudo-random number generators for Monte Carlo simulations on ATI Graphics Processing Units

Recent source codes

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

pplx-garden: Perplexity open source garden for inference technology

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

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