high performance computing on graphics processing units: hgpu.org

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Fast free-form deformation using graphics processing units

Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Manja Lehmann, Josephine Barnes, David J. Hawkes, Nick C. Fox, Sebastien Ourselin

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Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX, Package

November 17, 2010 by hgpu

permGPU: Using graphics processing units in RNA microarray association studies

Ivo Shterev, Sin H. Jung, Stephen George, Kouros Owzar

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280, Package, RNA

November 17, 2010 by hgpu

Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA Compatible Devices

Tomonari Masada, Tsuyoshi Hamada, Yuichiro Shibata, Kiyoshi Oguri

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Tags: Computer science, CUDA, Latent Dirichlet allocation, nVidia, nVidia GeForce GTX 260

November 17, 2010 by hgpu

Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU

Wai-Man Pang, Jing Qin, Yuqiang Lu, Yongming Xie, Chee-Kong Chui, Pheng-Ann Heng

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, Motion compensation, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

Eye-Full Tower: A GPU-based variable multibaseline omnidirectional stereovision system with automatic baseline selection for outdoor mobile robot navigation

Wen L. Lui, Ray Jarvis

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 M GTX

November 17, 2010 by hgpu

Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

Stanimire Tomov, Rajib Nath, Jack Dongarra

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Package

November 17, 2010 by hgpu

A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations

Michael Griebel, Peter Zaspel

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Tags: CUDA, Fluid dynamics, MPI, Navier-Stokes equations, NSEs, nVidia, Tesla S1070

November 17, 2010 by hgpu

Domain Decomposition method on GPU cluster

Yusuke Osaki, Ken-Ichi Ishikawa

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Mathematical Software, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, OpenMPI, Physics, QCD

November 16, 2010 by hgpu

Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation

Grand R. Joldes, Adam Wittek, Karol Miller

Tags: CUDA, Medicine, nVidia, Surgical simulation

November 16, 2010 by hgpu

Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)

Bormin Huang, Jarno Mielikainen, Hyunjong Oh, Hung-Lung A. Huang

Tags: CUDA, Earth and Space Sciences, nVidia

November 16, 2010 by hgpu

High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning

Ali Cevahir, Akira Nukada, Satoshi Matsuoka

Tags: Computer science, Conjugate gradient solver, CUDA, GPU cluster, nVidia

November 16, 2010 by hgpu

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Jayram Moorkanikara M. Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alexander V. Veidenbaum

Tags: Biology, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, STDP

November 13, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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high performance computing on graphics processing units: hgpu.org

Fast free-form deformation using graphics processing units

permGPU: Using graphics processing units in RNA microarray association studies

Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA Compatible Devices

Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU

Eye-Full Tower: A GPU-based variable multibaseline omnidirectional stereovision system with automatic baseline selection for outdoor mobile robot navigation

Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations

Domain Decomposition method on GPU cluster

Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation

Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)

High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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