high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications

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

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

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

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

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

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

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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Source codes

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

October 28, 2010 by hgpu

Fast CGH computation using S-LUT on GPU

Yuechao Pan, Xuewu Xu, Sanjeev Solanki, Xinan Liang, Ridwan B. Tanjung, Chiwei Tan, Tow-Chong Chong

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Tags: Algorithms, Computer holography, Physics

October 28, 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

Applications

Implementing Decision Trees and Forests on a GPU

Stochastic DT-MRI Connectivity Mapping on the GPU

Adaptive Mesh Fluid Simulations on 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

Fuzzy ART Neural Network Parallel Computing on the GPU

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

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

CrystalGPU: Transparent and Efficient Utilization of GPU Power

Fast CGH computation using S-LUT on GPU

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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