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Spherical harmonic transform on heterogeneous architectures using hybrid programming

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla S1070

June 2, 2011 by hgpu

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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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

Implementations of Parallel Computation of Euclidean Distance Map in Multicore Processors and GPUs

Duhu Man, Kenji Uda, Hironobu Ueyama, Yasuaki Ito, Koji Nakano

Tags: Algorithms, Image processing, nVidia, Tesla C1060

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 Framework for multisensor image fusion using graphics hardware

Seung-Hun Yoo, Sung-Up Jo, Ki-Young Choi, Chang-Sung Jeong

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 8600 GTS, OpenGL

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

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Spherical harmonic transform on heterogeneous architectures using hybrid programming

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

Implementations of Parallel Computation of Euclidean Distance Map in Multicore Processors and GPUs

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 Framework for multisensor image fusion using graphics hardware

A High Performance Image Authentication Algorithm on GPU with CUDA

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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