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Improved FCM algorithm for Clustering on Web Usage Mining

K.Suresh, R.Madana Mohana, Dr.A.Rama Mohan Reddy

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Tags: Clustering, web usage mining

December 18, 2012 by sureshkallam

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Dinesh Majeti, Aditya Prakash, S. Balasubramanian, PK Baruah

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Tags: Clustering, CUDA, CULA, Image processing, nVidia, Optimization, Tesla S2050

December 5, 2012 by hgpu

Performance modeling of atomic additions on GPU scratchpad memory

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Nicolas Guil

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Optimization

November 14, 2012 by hgpu

GPU Acceleration of Pyrosequencing Noise Removal

Yang Gao, Jason D. Bakos

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Tags: Algorithms, Bioinformatics, Biology, Clustering, CUDA, MPI, nVidia, Sequence alignment, Tesla C2070

November 10, 2012 by hgpu

Exploiting Data Parallelism in GPUs

Yongpeng Zhang

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Tags: Clustering, Computer science, CUDA, Data parallelism, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280, Thesis

October 14, 2012 by hgpu

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Liang Men, Miaoqing Huang, John Gauch

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Tags: Algorithms, Clustering, CUDA, Image processing, nVidia, Tesla C2075

October 9, 2012 by hgpu

Accelerated protein structure comparison using TM-score-GPU

Ling-Hong Hung, Ram Samudrala

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Tags: ATI, ATI Radeon HD 5870, Bioinformatics, Biology, Clustering, OpenCL, Package

October 5, 2012 by hgpu

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

Atul Bagga, Durga Toshniwal

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Tags: Clustering, Computer science, CUDA, Databases, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX

September 21, 2012 by hgpu

Evolutionary Clustering on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel

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Tags: Algorithms, Clustering, Computer science, CUDA, Machine learning, nVidia, Tesla C2050

September 20, 2012 by hgpu

Scalable Clustering for Vision using GPUs

Wasif Mohiuddin

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Tags: Algorithms, Clustering, Computer science, Computer vision, CUDA, Data mining, nVidia, nVidia GeForce 8600, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla T10, Thesis

August 26, 2012 by hgpu

Clustering Based Search Algorithm For Motion Estimation

Ke Chen, Zhong Zhou, Wei Wu

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

August 5, 2012 by hgpu

Ensemble K-Means on Modern Many Core Hardware

Girish Ravunnikutty

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Tags: Bioinformatics, Clustering, Computer science, Data mining, Machine learning, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Pattern recognition, Thesis

July 28, 2012 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Improved FCM algorithm for Clustering on Web Usage Mining

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Performance modeling of atomic additions on GPU scratchpad memory

GPU Acceleration of Pyrosequencing Noise Removal

Exploiting Data Parallelism in GPUs

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Accelerated protein structure comparison using TM-score-GPU

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

Evolutionary Clustering on CUDA

Scalable Clustering for Vision using GPUs

Clustering Based Search Algorithm For Motion Estimation

Ensemble K-Means on Modern Many Core Hardware

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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