high performance computing on graphics processing units: hgpu.org

Programming

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A high-throughput screening approach to discovering good forms of biologically inspired visual representation

Nicolas Pinto, David Doukhan, James J. DiCarlo, David D. Cox

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Tags: Computer vision, CUDA, Image processing, nVidia

November 25, 2010 by hgpu

Fast minimum spanning tree for large graphs on the GPU

Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla S1070

November 25, 2010 by hgpu

Quantum Chemistry on Graphical Processing Units. 3. Analytical Energy Gradients, Geometry Optimization, and First Principles Molecular Dynamics

Ivan S. Ufimtsev, Todd J. Martinez

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Tags: Chemistry, Computational chemistry, CUDA, Molecular dynamics, Molecular modeling, nVidia, nVidia GeForce GTX 295

November 25, 2010 by hgpu

Nonlinear optimization framework for image-based modeling on programmable graphics hardware

Karl E. Hillesland, Sergey Molinov, Radek Grzeszczuk

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Tags: Algorithms, ATI, ATI Radeon 9700, Computer science, DirectX, Image generation, Optimization

November 25, 2010 by hgpu

Fast volumetric deformation on general purpose hardware

C. Rezk Salama, M. Scheuering, G. Soza, G. Greiner

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 2, OpenGL, Shaders

November 24, 2010 by hgpu

A practical and robust bump-mapping technique for today’s GPU’s

M. Kilgard

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Tags: Algorithms, Computer science, nVidia, OpenGL, Shaders, Visualization

November 24, 2010 by hgpu

Comparing GPU-based multi-volume ray casting techniques

Nicole Schubert, Ingrid Scholl

Tags: Computer science, CUDA, nVidia, Rendering, Visualization

November 24, 2010 by hgpu

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Jiayuan Meng, Kevin Skadron

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques

November 23, 2010 by hgpu

Many-core algorithms for statistical phylogenetics

Marc A. Suchard, Andrew Rambaut

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

November 23, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

Graphical Asian Options

Mark Joshi

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Tags: Asia options, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia Quadro FX 4600

November 23, 2010 by hgpu

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Jonas Tolke

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Tags: Computer science, CUDA, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 Ultra

November 23, 2010 by hgpu

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

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A high-throughput screening approach to discovering good forms of biologically inspired visual representation

Fast minimum spanning tree for large graphs on the GPU

Quantum Chemistry on Graphical Processing Units. 3. Analytical Energy Gradients, Geometry Optimization, and First Principles Molecular Dynamics

Nonlinear optimization framework for image-based modeling on programmable graphics hardware

Fast volumetric deformation on general purpose hardware

A practical and robust bump-mapping technique for today’s GPU’s

Comparing GPU-based multi-volume ray casting techniques

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Many-core algorithms for statistical phylogenetics

Synergistic execution of stream programs on multicores with accelerators

Graphical Asian Options

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Recent source codes

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

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

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