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Accelerating a Bayesian Phylogenetic Inference Application with OpenACC

Joao Pedro de Matos Neves

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Tags: Bayesian, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 580, OpenACC

January 25, 2014 by hgpu

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

E. Garcia, T. Hausotte

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Tags: Algorithms, Bayesian, CUDA, Filtering, nVidia, Package, Particle filtering, Physics, Probability, Tesla C2075

January 6, 2014 by hgpu

Augur: a Modeling Language for Data-Parallel Probabilistic Inference

Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Pocock, Stephen J. Green, Guy L. Steele Jr

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Tags: Bayesian, CUDA, Machine learning, Mathematics, nVidia, nVidia GeForce GTX Titan, Programming Languages, Statistics

December 13, 2013 by hgpu

Development of Bayesian analysis program for extraction of polarisation observables at CLAS

S. Lewis, D. Ireland, W. Vanderbauwhede

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Tags: ATI, Bayesian, OpenCL, Package, Physics

December 12, 2013 by hgpu

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

SIMD Parallel Gibbs Sampling of Probabilistic Directed Acyclic Graphs

Alireza S. Mahani, Mansour T.A. Sharabiani

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Tags: Artificial intelligence, Bayesian, Intel Phi, Intel Xeon Phi, OpenMP, Statistics

October 22, 2013 by hgpu

Serial and Parallel Bayesian Spam Filtering using Aho-Corasick and PFAC

Saima Haseeb, Mahak Motwani, Amit Saxena

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Bayesian, Computer science, Filtering, OpenCL, Security, String matching

August 23, 2013 by hgpu

GUESS-ing Polygenic Associations with Multiple Phenotypes Using a GPU-Based Evolutionary Stochastic Search Algorithm

Leonardo Bottolo, Marc Chadeau-Hyam, David I. Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S. Wild, Arne Schillert, Andreas Ziegler, Sune F. Nielsen, Adam S. Butterworth, Weang Kee Ho, Raphaele Castagne, Thomas Munzel, David Tregouet, Mario Falchi15, Francois Cambien, Borge G. Nordestgaard, Frederic Fumeron, Anne Tybjaerg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

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Tags: Algorithms, Bayesian, Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C1060

August 16, 2013 by hgpu

Efficient bayesian multi-view deconvolution

Stephan Preibisch, Fernando Amat, Evangelia Stamataki, Mihail Sarov, Eugene Myers, Pavel Tomancak

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Tags: Bayesian, Biology, CUDA, Microscopy, nVidia, nVidia Quadro 4000, Package

August 6, 2013 by hgpu

vSMC: Parallel Sequential Monte Carlo in C++

Yan Zhou

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Tags: Algorithms, Bayesian, Mathematical Software, Mathematics, nVidia, nVidia Quadro FX 2000, OpenCL, Package, Physics, Signal processing, Statistics

July 1, 2013 by hgpu

Bayesian State-Space Modelling on High-Performance Hardware Using LibBi

Lawrence M. Murray

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Tags: Bayesian, CUDA, Mathematics, nVidia, Package, Statistics, Tesla C2075, Tesla S2050

June 17, 2013 by hgpu

Color and motion-based particle filter target tracking in a network of overlapping cameras with multi-threading and GPGPU

Francisco Madrigal, Jean-Bernard Hayet

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Tags: Algorithms, Bayesian, Computer science, CUDA, nVidia, nVidia GeForce 9400 M

May 7, 2013 by hgpu

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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