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Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures

Fadel Adoe, Yingke Chen, Prashant Doshi

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Tags: Algorithms, Bayesian, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Package

December 22, 2014 by hgpu

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

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures

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

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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