high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications

Using Graphics Processors to Facilitate Explicit Digital Electrochemical Simulation: Theory of Elliptical Disc Electrodes

Ian Cutress, Richard Compton

Tags: Chemistry, Electrochemistry

November 19, 2010 by hgpu

An optimised radial basis function algorithm for fast non-rigid registration of medical images

R. J. Lapeer, S. K. Shah, R. S. Rowland

Tags: Computed tomography, CT, Image registration, Magnetic resonance imaging, Medicine, Tomography

November 19, 2010 by hgpu

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Luca Mussi, Fabio Daolio, Stefano Cagnoni

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT

November 19, 2010 by hgpu

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

Duy M. Dang, Christina Christara, Kenneth R. Jackson

View

Download (PDF)

Tags: CUDA, Finance, Finite difference, nVidia, Partial differential equations, PDEs, Tesla T10

November 19, 2010 by hgpu

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Wei Xu, Fang Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard, Klaus Mueller

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce GTX 280, Tomography

November 19, 2010 by hgpu

Rodinia: A benchmark suite for heterogeneous computing

Shuai Che, Michael Boyer, Jiayuan Meng, David Tarjan, Jeremy W. Sheaffer, Sang-Ha Lee, Kevin Skadron

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, OpenMP

November 19, 2010 by hgpu

Ultra-fast FFT protein docking on graphics processors

David W. Ritchie, Vishwesh Venkatraman

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, FFT, nVidia, nVidia GeForce GTX 285

November 19, 2010 by hgpu

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard Vuduc

View

Download (PDF)

Tags: Computer science, CUDA, Fast multipole method, MPI, nVidia, OpenMP, Performance, Tesla S1070

November 19, 2010 by hgpu

Design and Performance Evaluation of Image Processing Algorithms on GPUs

In K. Park, Nitin Singhal, Man H. Lee, Sungdae Cho, Chris Kim

Tags: Computer vision, CUDA, Image processing, nVidia, OpenMP

November 19, 2010 by hgpu

Multi-dimensional characterization of temporal data mining on graphics processors

J. Archuleta, Yong Cao, T. Scogland, Wu-Chun Feng

View

Download (PDF)

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280

November 19, 2010 by hgpu

A two-level real-time vision machine combining coarse- and fine-grained parallelism

Lars Jensen, Anders Kjaer-Nielsen, Karl Pauwels, Jeppe Jessen, Marc Van Hulle, Norbert Kruger

View

Download (PDF)

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, OpenMP

November 19, 2010 by hgpu

From Rendering to Tracking Point-based 3D Models

Christophe Dehais, Geraldine Morin, Vincent Charvillat

Tags: Computer science, Computer vision

November 18, 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

Using Graphics Processors to Facilitate Explicit Digital Electrochemical Simulation: Theory of Elliptical Disc Electrodes

An optimised radial basis function algorithm for fast non-rigid registration of medical images

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Rodinia: A benchmark suite for heterogeneous computing

Ultra-fast FFT protein docking on graphics processors

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

Design and Performance Evaluation of Image Processing Algorithms on GPUs

Multi-dimensional characterization of temporal data mining on graphics processors

A two-level real-time vision machine combining coarse- and fine-grained parallelism

From Rendering to Tracking Point-based 3D Models

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)