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GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Fukang Yin, Fengshun Lu, Xiaoqun Cao, Junqiang Song

Tags: Computational modelling, Computer science, CUDA, Earth and Space Sciences, GPU cluster, nVidia, nVidia GeForce GTX 480, Weather prediction

June 1, 2011 by hgpu

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

N. Lopes, B. Ribeiro, R. Quintas

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Source codes

Tags: Computer science, CUDA, Machine learning, nVidia, Package

June 1, 2011 by hgpu

A GPU/CUDA implementation of the collection-diffusion model to compute SER of large area and complex circuits

J.L. Autran, S. Uznanski, S. Martinie, P. Roche, G. Gasiot, D. Munteanu

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Tags: Computer science, CUDA, Fault simulation, Hardware Architecture, Memory, nVidia, Physics, Tesla C1060

June 1, 2011 by hgpu

CUDA Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska, Tomas Lamr

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 280

June 1, 2011 by hgpu

The Parallel Processing Based on CUDA for Convolution Filter FDK Reconstruction of CT

Benyi Shi, Sihai Chen, Feifei Huang, Cheng Wang, Kun Bi

Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, Tomography

June 1, 2011 by hgpu

Robust Low Complexity Feature Tracking using CUDA

R. Phull, P. Mainali, Qiong Yang, H. Sips, G. Lafruit

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

June 1, 2011 by hgpu

Implementation of medical image segmentation in CUDA

Lei Pan, Lixu Gu, Jianrong Xu

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Tags: Cg, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 6800, nVidia GeForce 8500 GT

May 31, 2011 by hgpu

A High Performance Image Authentication Algorithm on GPU with CUDA

Caiwei Lin, Lei Zhao, Jiwen Yang

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Tags: CUDA, Image processing, Image registration, nVidia, Security, Tesla C1060

May 31, 2011 by hgpu

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Seung-Hun Yoo, Jin-Hyung Park, Chang-Sung Jeong

Tags: Algorithms, CUDA, Image processing, nVidia, Wavelet

May 31, 2011 by hgpu

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Laszlo Szirmay-Kalos, Gabor Liktor, Tamas Umenhoffer, Balazs Toth, Shree Kumar, Glenn Lupton

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Tags: CUDA, GPU cluster, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

May 31, 2011 by hgpu

Distributed time, conservative parallel logic simulation on GPUs

Bo Wang, Yuhao Zhu, Yangdong Deng

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Tags: Computer science, CUDA, Electronic design automation, Hardware Architecture, nVidia, nVidia GeForce GTX 280, Performance

May 31, 2011 by hgpu

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

K. Dohi, K. Benkridt, C. Ling, T. Hamada, Y. Shibata

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm

May 31, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

A GPU/CUDA implementation of the collection-diffusion model to compute SER of large area and complex circuits

CUDA Accelerated LTL Model Checking

The Parallel Processing Based on CUDA for Convolution Filter FDK Reconstruction of CT

Robust Low Complexity Feature Tracking using CUDA

Implementation of medical image segmentation in CUDA

A High Performance Image Authentication Algorithm on GPU with CUDA

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Distributed time, conservative parallel logic simulation on GPUs

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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