high performance computing on graphics processing units: hgpu.org

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GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means

Zhen Tian, Xun Jia, Steve B. Jiang

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Tags: Computed tomography, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 10, 2010 by hgpu

Compressive Phase Contrast Tomography

F. R. N. C. Maia, A. MacDowell, S. Marchesini, H. A. Padmore, D. Y. Parkinson, J. Pien, A. Schirotzek, C. Yang

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Tags: CUDA, FFT, nVidia, Optics, Physics, Radon transform, Tesla C1060, Tomography

November 10, 2010 by hgpu

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

Zhen Tian, Xun Jia, Kehong Yuan, Tinsu Pan, Steve B. Jiang

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Tags: Computed tomography, CT, CUBLAS, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 9, 2010 by hgpu

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Christian Trott, Lars Winterfeld

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

November 9, 2010 by hgpu

Improving many flavor QCD simulations using multiple GPUs

M. Hayakawa, K.-I. Ishikawa, Y. Osaki, S. Takeda, S. Uno, N. Yamada

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, OpenMP, Physics, QCD

November 9, 2010 by hgpu

Multi GPU Performance of Conjugate Gradient Algorithm with Staggered Fermions

Hyung-Jin Kim, Weonjong Lee

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Physics, QCD, Tesla C2050

November 9, 2010 by hgpu

SU(2) Lattice QCD Simulations on Fermi GPUs

Nuno Cardoso, Pedro Bicudo

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Package, Physics

November 9, 2010 by hgpu

Implementation of the Neuberger-Dirac operator on GPUs

Bjoern Walk, Hartmut Wittig, Egor Dranischnikow, Elmar Schomer

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, QCD, Tesla C2050

November 9, 2010 by hgpu

Staggered fermions simulations on GPUs

Claudio Bonati, Guido Cossu, Massimo D'Elia, Adriano Di Giacomo

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C1060, Tesla C2050

November 9, 2010 by hgpu

Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics

Ronald Babich, Michael A. Clark, Balint Joo

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Physics, QCD, Tesla C1060, Tesla C2050, Tesla C870

November 9, 2010 by hgpu

Numerical modeling of gravitational wave sources accelerated by OpenCL

Gaurav Khanna, Justin McKennon

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Tags: Cell processor, Computational Physics, General Relativity and Quantum Cosmology, Gravitation, nVidia, OpenCL, Physics, Tesla C1060

November 9, 2010 by hgpu

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

Marius Buibas, Gabriel A. Silva

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Tags: Biological Physics, Condensed matter, CUDA, Disordered Systems and Neural Networks, Mathematical Physics, Neurons and Cognition, nVidia, Package, Physics, Tesla C1060

November 9, 2010 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

GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means

Compressive Phase Contrast Tomography

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Improving many flavor QCD simulations using multiple GPUs

Multi GPU Performance of Conjugate Gradient Algorithm with Staggered Fermions

SU(2) Lattice QCD Simulations on Fermi GPUs

Implementation of the Neuberger-Dirac operator on GPUs

Staggered fermions simulations on GPUs

Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics

Numerical modeling of gravitational wave sources accelerated by OpenCL

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

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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