high performance computing on graphics processing units: hgpu.org

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Graphics processing unit–accelerated holography by simulated annealing

Joel Carpenter, Timothy D. Wilkinson

Tags: Computer holography, nVidia, nVidia GeForce GTX 260, Optics, Physics

November 18, 2010 by hgpu

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

Massimo Bernaschi, Massimiliano Fatica, Simone Melchionna, Sauro Succi, Efthimios Kaxiras

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, nVidia GeForce 8600 M GT, Tesla C870

November 18, 2010 by hgpu

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

Xueming Li, Nikolaus Grigorieff, Yifan Cheng

Source codes

Tags: Biology, CUDA, Electron microscopy, Image reconstruction, nVidia, Package

November 18, 2010 by hgpu

Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction

Xiaokang Zhang, Xing Zhang, Z. Hong Zhou

Tags: Biology, Cryo-EM, CUDA, Image reconstruction, nVidia

November 18, 2010 by hgpu

An adaptive Expectation-Maximization algorithm with GPU implementation for electron cryomicroscopy

Hemant D. Tagare, Andrew Barthel, Fred J. Sigworth

Tags: Algorithms, Biology, Cryo-EM, CUDA, Image reconstruction, nVidia

November 18, 2010 by hgpu

Correlation analysis on GPU systems using NVIDIA’s CUDA

Daniel Gembris, Markus Neeb, Markus Gipp, Andreas Kugel, Reinhard Manner

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Tags: Computer science, CUDA, FPGA, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

A Survey of Medical Image Registration on Multicore and the GPU

Ramtin Shams, Parastoo Sadeghi, Rodney Kennedy, Richard Hartley

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Tags: Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 295

November 17, 2010 by hgpu

TeraFLOP computing on a desktop PC with GPUs for 3D CFD

J. Tolke, M. Krafczyk

Tags: Fluid dynamics, Lattice Boltzmann model, nVidia

November 17, 2010 by hgpu

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 280, Performance

November 17, 2010 by hgpu

Scalable parallel programming with CUDA

John Nickolls, Ian Buck, Michael Garland, Kevin Skadron

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Tags: Computer science, CUDA, nVidia, Programming techniques, Review

November 17, 2010 by hgpu

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

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

Graphics processing unit–accelerated holography by simulated annealing

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction

An adaptive Expectation-Maximization algorithm with GPU implementation for electron cryomicroscopy

Correlation analysis on GPU systems using NVIDIA’s CUDA

A Survey of Medical Image Registration on Multicore and the GPU

TeraFLOP computing on a desktop PC with GPUs for 3D CFD

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Scalable parallel programming with CUDA

Fast free-form deformation using graphics processing units

permGPU: Using graphics processing units in RNA microarray association studies

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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