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Mr. Scan: Extreme Scale Density-Based Clustering using a Tree-Based Network of GPGPU Nodes

Benjamin Welton, Evan Samanas, Barton P. Miller

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, nVidia, Tesla K20

April 30, 2013 by hgpu

Astrophysical data mining with GPU. A case study: genetic classification of globular clusters

Stefano Cavuoti, Mauro Garofalo, Massimo Brescia, Maurizio Paolillo, Antonio Pescape', Giuseppe Longo, Giorgio Ventre

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Tags: Algorithms, Astrophysics, CUDA, Data mining, Globular clusters, nVidia, nVidia GeForce GT 540 M

April 3, 2013 by hgpu

A Networked Dataflow Simulation Environment for Signal Processing and Data Mining Applications

Stephen Won

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Tags: Computer vision, CUDA, Data mining, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, SIFT, Signal processing, Thesis

February 12, 2013 by hgpu

Efficient Weighted Histogramming on GPUs with CUDA

Mo Xu, Ningyi Xu, Chunshui Zhao, Feng-Hsiung Hsu

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Tags: Computer science, CUDA, Data mining, Machine learning, nVidia, nVidia GeForce GTX 580

January 8, 2013 by hgpu

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

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Source codes

Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

A computationally efficient and scalable approach for privacy preserving kNN classification

Sairam Ravu, P. R. Neelakandan, M. R. Gorai, R. Mukkamala, P. K. Baruah

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Tags: Algorithms, Bloom filter, Computer science, CUDA, Data mining, nVidia, Tesla M2070

December 8, 2012 by hgpu

Accelerating MapReduce on a coupled CPU-GPU architecture

Linchuan Chen, Xin Huo, Gagan Agrawal

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Tags: APU, ATI, ATI Radeon HD 6550, Computer science, Data mining, Heterogeneous systems, Machine learning, MapReduce, OpenCL

November 20, 2012 by hgpu

Efficient similarity search on multimedia databases

Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 330 M, nVidia GeForce GTX 470, nVidia GeForce GTX 550 Ti

November 14, 2012 by hgpu

Empirical analysis of a parallel data mining algorithm on a graphic processor

Davide Berdin

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Tags: Computer science, CUDA, Data mining, Data parallelism, nVidia, nVidia GeForce GTX 580, Thesis

October 20, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 2012 by hgpu

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Wei Jiang

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Tags: Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, MapReduce, MPI, nVidia, Tesla C2050, Thesis

September 1, 2012 by hgpu

CUDA-Accelerated Data-Mining for Putative Heteromeric Transcription Factors and Target Genes Using Microarray Gene Expression Profiles

Edward A. Salinas, Amitava Karmaker

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Tags: Algorithms, Biology, Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 590

August 31, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Mr. Scan: Extreme Scale Density-Based Clustering using a Tree-Based Network of GPGPU Nodes

Astrophysical data mining with GPU. A case study: genetic classification of globular clusters

A Networked Dataflow Simulation Environment for Signal Processing and Data Mining Applications

Efficient Weighted Histogramming on GPUs with CUDA

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

A computationally efficient and scalable approach for privacy preserving kNN classification

Accelerating MapReduce on a coupled CPU-GPU architecture

Efficient similarity search on multimedia databases

Empirical analysis of a parallel data mining algorithm on a graphic processor

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

CUDA-Accelerated Data-Mining for Putative Heteromeric Transcription Factors and Target Genes Using Microarray Gene Expression Profiles

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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