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Bayesian neural networks for detecting epistasis in genetic association studies

Andrew L Beam, Alison Motsinger-Reif, Jon Doyle

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Tags: Bayesian, Biology, CUDA, CULA, Neural networks, nVidia, Package, Python

December 15, 2014 by hgpu

Relax-Miracle: GPU Parallelization of Semi-Analytic Fourier-Domain solvers for Earthquake Modeling

Sagar Shrishailappa Masuti, Sylvain Barbot, Nachiket Kapre

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Tags: Bayesian, CUDA, Earth and Space Sciences, FFT, Geoscience, nVidia, Tesla K20

November 9, 2014 by hgpu

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

Michelle Perry

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Tags: Bayesian, CUDA, High Energy Physics - Phenomenology, Neural networks, nVidia, nVidia GeForce GT 320 M, Physics, Tesla M2050

October 27, 2014 by hgpu

GPU-Accelerated Bayesian Learning and Forecasting in Simultaneous Graphical Dynamic Linear Models

Lutz F. Gruber, Mike West

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Tags: Bayesian, CUDA, Mathematics, nVidia, Tesla C2050

September 30, 2014 by hgpu

Bayesian model comparison via sequential Monte Carlo

Yan Zhou

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Tags: Algorithms, Bayesian, Mathematics, nVidia, nVidia Quadro 2000, OpenCL, Package, Statistics, Thesis

July 28, 2014 by hgpu

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

Trevor DeVore

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Tags: Bayesian, Bioinformatics, Biology, CUDA, Heterogeneous systems, nVidia, Tesla K20, Tesla K40, Thesis

July 23, 2014 by hgpu

GPU Implementation of Bayesian Neural Network Construction for Data-Intensive Applications

Michelle Perry, Harrison B. Prosper, Anke Meyer-Baese

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Tags: Bayesian, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Physics, Review

June 17, 2014 by hgpu

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Andrew L. Beam, Alison Motsinger-Reif, Jon Doyle

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Tags: Bayesian, Biology, CUDA, Machine learning, Neural networks, nVidia, Package, Python

April 17, 2014 by hgpu

Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data

Ari Pakman, Ben Shababo, Liam Paninski

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Tags: Bayesian, Computer science, CUDA, nVidia, Python

April 9, 2014 by hgpu

Concurrent learning of a Probabilistic Graphical Model on the GPU

M. Matuszak

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Tags: Bayesian, CUDA, nVidia, nVidia GeForce GTX 480, Path problems

March 21, 2014 by hgpu

REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time

Matia Pizzoli, Christian Forster, Davide Scaramuzza

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Tags: Bayesian, Computer vision, CUDA, Image processing, nVidia, nVidia Quadro K 2000 M

February 26, 2014 by hgpu

Fast Hamiltonian Monte Carlo Using GPU Computing

Andrew L. Beam, Sujit K. Ghosh, Jon Doyle

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Tags: Algorithms, Bayesian, CUDA, CULA, Monte Carlo simulation, nVidia, Package, Python, Statistics, Tesla K20

February 19, 2014 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Bayesian neural networks for detecting epistasis in genetic association studies

Relax-Miracle: GPU Parallelization of Semi-Analytic Fourier-Domain solvers for Earthquake Modeling

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

GPU-Accelerated Bayesian Learning and Forecasting in Simultaneous Graphical Dynamic Linear Models

Bayesian model comparison via sequential Monte Carlo

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

GPU Implementation of Bayesian Neural Network Construction for Data-Intensive Applications

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data

Concurrent learning of a Probabilistic Graphical Model on the GPU

REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time

Fast Hamiltonian Monte Carlo Using GPU Computing

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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