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Systematic Physics Constrained Parameter Estimation of Stochastic Differential Equations

Daniel Peavoy, Christian L. E. Franzke, Gareth O. Roberts

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Tags: Algorithms, Bayesian, CUDA, Differential equations, nVidia, Physics

December 9, 2013 by hgpu

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

A. Gianelle, S. Amerio, D. Bastieri, M. Corvo, W. Ketchum, T. Liu, A. Lonardo, D. Lucchesi, S. Poprocki, R. Rivera, L. Tosoratto, P. Vicini, P. Wittich

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Tags: ATI, ATI Radeon HD 7970, CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Physics, Tesla K20, Tesla M2050

December 6, 2013 by hgpu

Fast quantum Monte Carlo on a GPU

Y. Lutsyshyn

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, Physics, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU

R. G. Calland, A. C. Kaboth, D. Payne

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Source codes

Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 670, Package, Physics, Probability

December 3, 2013 by hgpu

Diagrammatic Determinantal Quantum Monte Carlo Calculations on GPUs

Markus Schmitt

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Tags: Algorithms, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Physics, QMC, Tesla C2050, Thesis

November 25, 2013 by hgpu

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Ye Fang, Sheng Feng, Ka-Ming Tam, Zhifeng Yun, Juana Moreno, J. Ramanujam, Mark Jarrell

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics

November 25, 2013 by hgpu

Potential Energy Landscapes for the 2D XY Model: Minima, Transition States and Pathways

Dhagash Mehta, Ciaran Hughes, Mario Schrock, David J. Wales

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Tags: Condensed matter, CUDA, nVidia, Physics, Statistical Mechanics, Tesla C2070

November 25, 2013 by hgpu

Fast 4pi track reconstruction in nuclear emulsion detectors based on GPU technology

A. Ariga, T. Ariga

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Tags: CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, nVidia, nVidia GeForce GTX Titan, Physics

November 23, 2013 by hgpu

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Yong-Chull Jang, Jon A. Bailey, Weonjong Lee, Carleton DeTar, Mehmet B. Oktay, Andreas S. Kronfeld

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Tags: CUDA, High Energy Physics - Lattice, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Physics

November 22, 2013 by hgpu

Experience with Intel’s Many Integrated Core architecture in ATLAS software

S. Fleischmann, S. Kama, W. Lavrijsen, M. Neumann, R. Vitillo

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Tags: Computer science, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, MPI, Physics, Task scheduling

November 21, 2013 by hgpu

Implementation of the twisted mass fermion operator in the QUDA library

Alexei Strelchenko, Constantia Alexandrou, Giannis Koutsou, Alejandro Vaquero Aviles-Casco

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Tags: CUDA, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla K20

November 19, 2013 by hgpu

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

William R. French, Amulya K. Pervaje, Andrew P. Santos, Christopher R. Iacovella, Peter T. Cummings

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Tags: Condensed matter, CUDA, Mesoscale and Nanoscale Physics, Molecular dynamics, nVidia, nVidia GeForce GTX 680, OpenMPI, Physics, Tesla M2090

November 18, 2013 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

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high performance computing on graphics processing units: hgpu.org

Systematic Physics Constrained Parameter Estimation of Stochastic Differential Equations

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

Fast quantum Monte Carlo on a GPU

Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU

Diagrammatic Determinantal Quantum Monte Carlo Calculations on GPUs

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Potential Energy Landscapes for the 2D XY Model: Minima, Transition States and Pathways

Fast 4pi track reconstruction in nuclear emulsion detectors based on GPU technology

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Experience with Intel’s Many Integrated Core architecture in ATLAS software

Implementation of the twisted mass fermion operator in the QUDA library

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

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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