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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

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

Robust GPGPU plugin development for RapidMiner

Andor Kovacs, Zoltan Prekopcsak

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Tags: Algorithms, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, nVidia GeForce GTX 480

July 18, 2012 by hgpu

Two Stage Data Mining Technique for Fast Monsoon Onset Prediction

Dinu John, K. K. Sindhu, B. B. Meshram

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Tags: CUDA, Data mining, Earth and Space Sciences, Image processing, nVidia, Weather prediction

July 3, 2012 by hgpu

Using the GPGPU for Scaling Up Mining Software Repositories

Rina Nagano, Hiroki Nakamura, Yasutaka Kamei, Bram Adams, Kenji Hisazumi, Naoyasu Ubayashi, Akira Fukuda

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 480, Package

June 10, 2012 by hgpu

Multicore Processing for Classification and Clustering Algorithms

V. Vaitheeshwaran, Kapil Kumar Nagwanshi, T. V. Rao

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Clustering, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX, OpenCL

April 21, 2012 by hgpu

Genetic Algorithm Modeling with GPU Parallel Computing Technology

S. Cavuoti, M. Garofalo, M. Brescia, A. Pescape, G. Longo, G. Ventre

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Tags: Algorithms, Astrophysics, Computer science, CUDA, Data mining, Genetic programming, Machine learning, nVidia, nVidia GeForce GT 540 M

April 21, 2012 by hgpu

Multicore Processing for Clustering Algorithms

RekhanshRao, Kapil Kumar Nagwanshi, SipiDubey

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Clustering, Computer science, Data mining, nVidia, OpenCL

March 29, 2012 by hgpu

A GPU-based parallel algorithm for time series pattern mining

Tao Sun, Jian Sha, Lin Feng

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9800 GTX

February 28, 2012 by hgpu

Acceleration of information-theoretic data analysis with graphics processing units

Davor Sluga, Tomaz Curk, Blaz Zupan, Uros Lotric

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, Tesla C2050

February 14, 2012 by hgpu

Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

Sabine McConnell, Robert Sturgeon, Gregory Henry, Andrew Mayne, Richard Hurley

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Tags: Algorithms, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GT 220, OpenCL, Self-organizing map, Tesla S1070

February 11, 2012 by hgpu

CudaRF: A CUDA-based Implementation of Random Forests

Hakan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Data mining, Machine learning, nVidia, nVidia GeForce GT 220

February 9, 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

Scalable Clustering for Vision using GPUs

Ensemble K-Means on Modern Many Core Hardware

Robust GPGPU plugin development for RapidMiner

Two Stage Data Mining Technique for Fast Monsoon Onset Prediction

Using the GPGPU for Scaling Up Mining Software Repositories

Multicore Processing for Classification and Clustering Algorithms

Genetic Algorithm Modeling with GPU Parallel Computing Technology

Multicore Processing for Clustering Algorithms

A GPU-based parallel algorithm for time series pattern mining

Acceleration of information-theoretic data analysis with graphics processing units

Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

CudaRF: A CUDA-based Implementation of Random Forests

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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