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Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

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Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 2012 by hgpu

Efficient Knowledge Extraction from Structured Data

Bianca Wackersreuther

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Tags: Algorithms, Clustering, Compression, Computer science, CUDA, Data mining, Databases, Heterogeneous systems, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Thesis

January 14, 2012 by hgpu

A new parallel tool for classification of remotely sensed imagery

Sergio Bernabe, Antonio Plaza, Prashanth Reddy Marpu, Jon Atli Benediktsson

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Tags: Clustering, CUDA, Earth and Space Sciences, Java, nVidia, nVidia GeForce 9400 M, Tesla C1060

January 9, 2012 by hgpu

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

Ekaterina Gonina

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Tags: Acoustics, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Python, Thesis

December 31, 2011 by hgpu

Reducing the Size of Nurbs Controls Nets Using Genetic Algorithms and CUDA

Matthew J. O'Neal, Cameron J. Turner

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, Programming techniques

December 23, 2011 by hgpu

Improving the usability of hierarchical representations for interactively labeling large image data sets

Julia Moehrmann, Stefan Bernstein, Thomas Schlegel, Gunter Werner, Gunther Heidemann

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Tags: ATI, ATI Mobility Radeon HD 4200, Clustering, Image processing, Image recognition, nVidia, nVidia GeForce 9600 M GT, Self-organizing map, Visualization

December 22, 2011 by hgpu

GPU-based parallel collision detection for real-time motion planning

Jia Pan, Dinesh Manocha

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Tags: Algorithms, Benchmarking, Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

December 22, 2011 by hgpu

GPU Accelerated PK-means Algorithm for Gene Clustering

Wuchao Situ, Yau-King Lam, Yi Xiao, P.W.M. Tsang, Chi-Sing Leung

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Tags: Algorithms, Biology, Clustering, CUDA, Genetics, nVidia, nVidia GeForce GTX 260

December 20, 2011 by hgpu

Self-Supervised Clustering for Codebook Construction: An Application to Object Localization

Arturo Ribes, Senshan Ji, Arnau Ramisa, Ramon Lopez De Mantaras

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Tags: Clustering, Computer science, Computer vision, CUDA, nVidia, SIFT

December 11, 2011 by hgpu

Accelerating Swarm Intelligence Algorithms with GPU-Computing

Robin M. Weiss

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Tags: Algorithms, Cluster analysis, Clustering, Computer science, CUDA, Data mining, nVidia, Tesla C1060

December 11, 2011 by hgpu

GMM based Fisher vector calculation on GPGPU

Erik Bodzsar, Balint Daroczy, Istvan Petras, Andras A. Benczur

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Tags: Clustering, CUDA, Databases, Image processing, nVidia, nVidia GeForce GTX 285, Package, Performance, SIFT

December 5, 2011 by hgpu

A New Tool for Classification of Satellite Images Available from Google Maps: Efficient Implementation in Graphics Processing Units

Sergio Bernabe, Antonio Plaza

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Tags: Algorithms, Clustering, Consensus, CUDA, Databases, Image processing, nVidia, nVidia GeForce 9400 M, Tesla C1060

December 5, 2011 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

Efficient fMRI Analysis and Clustering on GPUs

Efficient Knowledge Extraction from Structured Data

A new parallel tool for classification of remotely sensed imagery

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

Reducing the Size of Nurbs Controls Nets Using Genetic Algorithms and CUDA

Improving the usability of hierarchical representations for interactively labeling large image data sets

GPU-based parallel collision detection for real-time motion planning

GPU Accelerated PK-means Algorithm for Gene Clustering

Self-Supervised Clustering for Codebook Construction: An Application to Object Localization

Accelerating Swarm Intelligence Algorithms with GPU-Computing

GMM based Fisher vector calculation on GPGPU

A New Tool for Classification of Satellite Images Available from Google Maps: Efficient Implementation in Graphics Processing Units

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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