high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

The gputools package enables GPU computing in R

Joshua Buckner, Justin Wilson, Mark Seligman, Brian Athey, Stanley Watson, Fan Meng

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Tags: Computer science, CUBLAS, CUDA, nVidia, Package

October 28, 2010 by hgpu

Implementing Decision Trees and Forests on a GPU

Toby Sharp

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Tags: Computer science, Computer vision, HLSL, nVidia, nVidia GeForce GTX 280

October 28, 2010 by hgpu

Adaptive Mesh Fluid Simulations on GPU

Peng Wang, Tom Abel, Ralf Kaehler

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, nVidia, nVidia GeForce 8800 GT

October 28, 2010 by hgpu

Stochastic DT-MRI Connectivity Mapping on the GPU

Tim McGraw, Mariappan Nadar

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Tags: Computer science, Diffusion tensor, GLSL, Magnetic resonance imaging, nVidia, nVidia GeForce 8800 GTX, OpenGL, Stochastic tractography

October 28, 2010 by hgpu

GPU virtualization on VMware’s hosted I/O architecture

Micah Dowty, Jeremy Sugerman

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Tags: Computer science, Virtualization

October 28, 2010 by hgpu

GPU accelerated image aligned splatting

N. Neophytou, K. Mueller

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Tags: Computer science, Image aligned splatting, nVidia, nVidia Quadro FX 3400, Rendering

October 28, 2010 by hgpu

GPU-accelerated large-scale quantum molecular dynamics simulation of 3-dimensional C60 polymers

Toshiaki Iitaka

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Tags: Computational Physics, CUDA, Materials Science, Molecular dynamics, nVidia, nVidia GeForce 8800 GTX, Physics

October 28, 2010 by hgpu

An Implementation of the Smooth Particle Mesh Ewald Method on GPU Hardware

M. J. Harvey, G. De Fabritiis

Tags: Chemistry, Computational chemistry, Molecular dynamics, nVidia

October 28, 2010 by hgpu

GAMER: a GPU-Accelerated Adaptive Mesh Refinement Code for Astrophysics

Hsi-Yu Schive, Yu-Chih Tsai, Tzihong Chiueh

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia

October 28, 2010 by hgpu

Fuzzy ART Neural Network Parallel Computing on the GPU

Mario Martinez-Zarzuela, Diaz, Diez, Miriam Rodriguez

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Tags: Computer science, Neural networks, nVidia, nVidia GeForce 7800 GT

October 28, 2010 by hgpu

High performance cellular level agent-based simulation with FLAME for the GPU

Paul Richmond, Dawn Walker, Simon Coakley, Daniela Romano

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Tags: Bioinformatics, Cellular modelling, Computational modelling, Computer science, CUDA, nVidia, Package

October 28, 2010 by hgpu

CrystalGPU: Transparent and Efficient Utilization of GPU Power

Abdullah Gharaibeh, Samer Al-Kiswany, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package, Performance

October 28, 2010 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

The gputools package enables GPU computing in R

Implementing Decision Trees and Forests on a GPU

Adaptive Mesh Fluid Simulations on GPU

Stochastic DT-MRI Connectivity Mapping on the GPU

GPU virtualization on VMware’s hosted I/O architecture

GPU accelerated image aligned splatting

GPU-accelerated large-scale quantum molecular dynamics simulation of 3-dimensional C60 polymers

An Implementation of the Smooth Particle Mesh Ewald Method on GPU Hardware

GAMER: a GPU-Accelerated Adaptive Mesh Refinement Code for Astrophysics

Fuzzy ART Neural Network Parallel Computing on the GPU

High performance cellular level agent-based simulation with FLAME for the GPU

CrystalGPU: Transparent and Efficient Utilization of GPU Power

Recent source codes

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Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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