high performance computing on graphics processing units: hgpu.org

hgpu.org » Monte Carlo simulation

Massively parallelized replica-exchange simulations of polymers on GPUs

Jonathan Gross, Wolfhard Janke, Michael Bachmann

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Tags: Biomolecules, Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Polymer Systems, Tesla C1060

July 19, 2011 by hgpu

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, Tesla C1060

July 17, 2011 by hgpu

Reconfigurable Control Variate Monte-Carlo Designs for Pricing Exotic Options

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: CUDA, Finance, FPGA, Monte Carlo simulation, nVidia, Tesla C1060

June 20, 2011 by hgpu

High-Performance Monte Carlo Radiosity on GPU based on Scene Partitioning

Jose R. Sanjurjo, Margarita Amor, Montserrat Boo, Ramon Doallo

Tags: Algorithms, Computer science, Monte Carlo simulation, Performance

June 16, 2011 by hgpu

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Lifan Xu, Michela Taufer, Stuart Collins, Dionisios G. Vlachos

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Tags: Chemistry, CUDA, Data parallelism, GPU cluster, Monte Carlo simulation, nVidia, Physics, Tesla S1070

June 9, 2011 by hgpu

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Weihang Zhu, Ashraf Yaseen, Yaohang Li

Tags: Computer science, CUDA, Differential evolution, Monte Carlo simulation, nVidia, Optimization

June 7, 2011 by hgpu

Monte Carlo Radiative Transport on the GPU

Balazs Toth, Milan Magdics

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Tags: CUDA, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9600, Physics, Radiotherapy

June 4, 2011 by hgpu

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Laszlo Szirmay-Kalos, Gabor Liktor, Tamas Umenhoffer, Balazs Toth, Shree Kumar, Glenn Lupton

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Tags: CUDA, GPU cluster, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

May 31, 2011 by hgpu

Connected component identification and cluster update on GPU

Martin Weigel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2070

May 31, 2011 by hgpu

Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations

Jairo R. Sanchez, Hugo Alvarez, Diego Borro

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Tags: Computer vision, CUDA, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Real-time graphics, Video tracking

May 27, 2011 by hgpu

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms

Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechac, Michela Taufer, Lifan Xu

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Tags: CUDA, Mathematics, Monte Carlo simulation, Numerical Analysis, nVidia, Tesla C2050, Tesla C2070

May 25, 2011 by hgpu

Implementation of 3D Monte Carlo PET reconstruction algorithm on GPU

A. Wirth, A. Cserkaszky, B. Kari, D. Legrady, S. Feher, S. Czifrus, B. Domonkos

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Tags: Computed tomography, CT, Image processing, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, nVidia GeForce GTX 285, PET

May 19, 2011 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

Massively parallelized replica-exchange simulations of polymers on GPUs

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Reconfigurable Control Variate Monte-Carlo Designs for Pricing Exotic Options

High-Performance Monte Carlo Radiosity on GPU based on Scene Partitioning

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Monte Carlo Radiative Transport on the GPU

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Connected component identification and cluster update on GPU

Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms

Implementation of 3D Monte Carlo PET reconstruction algorithm on GPU

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

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