high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Computer science

Towards multi-GPU support for visualization

John D. Owens

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Visualization

December 6, 2010 by hgpu

Using Graphics Hardware for Enhancing Edge and Circle Detection

Antonio Ruiz, Manuel Ujaldon, Nicolas Guil

View

Download (PDF)

Tags: Cg, Computer vision, Image processing, nVidia, nVidia GeForce 7950 GX2, OpenGL

December 5, 2010 by hgpu

GPU architecture overview

John Owens

View

Download (PDF)

Tags: Computer science, Hardware, Presentation, Review

December 5, 2010 by hgpu

Visibility Sampling on GPU and Applications

Eisemann, Elmar, Decoret, Xavier

View

Download (PDF)

Tags: Algorithms, Computer science, Visualization

December 5, 2010 by hgpu

GPU physics

Mark Harris

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, OpenGL, Presentation, Review

December 5, 2010 by hgpu

Algorithmic Differentiation: Application to Variational Problems in Computer Vision

Thomas Pock, Michael Pock, Horst Bischof

View

Download (PDF)

Tags: Algorithms, Computer vision, Image processing

December 5, 2010 by hgpu

Fast continuous collision detection among deformable models using graphics processors

Naga K. Govindaraju, Ilknur Kabul, Ming C. Lin, Dinesh Manocha

Tags: Collision detection, Computer science, nVidia, nVidia GeForce 7800

December 5, 2010 by hgpu

Cache-efficient numerical algorithms using graphics hardware

Naga K. Govindaraju, Dinesh Manocha

View

Download (PDF)

Tags: Computer science, Memory model, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GTX, OpenGL

December 5, 2010 by hgpu

Robust GPU-assisted camera tracking using free-form surface models

Kevin Koeser, Bogumil Bartczak, Reinhard Koch

View

Download (PDF)

Tags: Algorithms, Cg, Computer science, nVidia, OpenGL, Video tracking

December 5, 2010 by hgpu

An Efficient Fine-grained Parallel Genetic Algorithm Based on GPU-Accelerated

Jian-Ming Li, Xiao-Jing Wang, Rong-Sheng He, Zhong-Xian Chi

Tags: Artificial intelligence, Computer science

December 5, 2010 by hgpu

Scout: a data-parallel programming language for graphics processors

Patrick McCormick, Jeff Inman, James Ahrens, Jamaludin M. Yusof, Greg Roth, Sharen Cummins

Tags: Computer science, High-level Languages, Visualization

December 5, 2010 by hgpu

Implementing a GPU-Enhanced Cluster for Large-Scale Simulations

Robert Lucas, Gene Wagenbreth, Dan Davis

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques

December 5, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Towards multi-GPU support for visualization

Using Graphics Hardware for Enhancing Edge and Circle Detection

GPU architecture overview

Visibility Sampling on GPU and Applications

GPU physics

Algorithmic Differentiation: Application to Variational Problems in Computer Vision

Fast continuous collision detection among deformable models using graphics processors

Cache-efficient numerical algorithms using graphics hardware

Robust GPU-assisted camera tracking using free-form surface models

An Efficient Fine-grained Parallel Genetic Algorithm Based on GPU-Accelerated

Scout: a data-parallel programming language for graphics processors

Implementing a GPU-Enhanced Cluster for Large-Scale Simulations

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

Most viewed papers (last 30 days)