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Accelerating Outlier Detection with Uncertain Data using Graphics Processors

Takazumi Matsumoto, Edward Hung

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Tags: Cluster analysis, Computer science, Data mining, Neural networks, nVidia, nVidia GeForce GT 440, OpenCL, Probability

February 5, 2012 by hgpu

Visual Data Mining Using the Point Distribution Tensor

Marcel Ritter, Werner Benger, Biagio Cosenza, Keera Pullman, Hans Moritsch, Wolfgang Leimer

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Tags: Algorithms, Data mining, Geoscience, Image processing, nVidia, nVidia Quadro FX 3800 M, OpenCL, Visualization

January 26, 2012 by hgpu

GPApriori: GPU-Accelerated Frequent Itemset Mining

Fan Zhang, Yan Zhang, Jason Bakos

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, Tesla S1070

January 24, 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

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

Jia Pan, Dinesh Manocha

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

January 9, 2012 by hgpu

Parallel Mining of Neuronal Spike Streams on Graphics Processing Units

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan

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Tags: Algorithms, Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280

December 17, 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

Evaluation of Fermi Features for Data Mining Algorithms

Sinduja Muralidharan

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, Tesla C1060, Tesla C2050, Thesis

December 2, 2011 by hgpu

The K-Anonymity Approach in Preserving the Privacy of E-Services that Implement Data Mining

Ion Lungu, Alexandru Pirjan

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Tags: Algorithms, CUDA, Data mining, Databases, Finance, nVidia, nVidia GeForce GTX 480

November 24, 2011 by hgpu

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

Alexandru Pirjan

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Tags: Algorithms, Computer science, CUDA, Data mining, MapReduce, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Review

November 24, 2011 by hgpu

High Performance Data Mining Using R on Heterogeneous Platforms

Prabhat Kumar, Berkin Ozisikyilmaz, Wei-Keng Liao, Gokhan Memik, Alok Choudhary

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Tags: Computer science, CUDA, Data mining, Heterogeneous systems, MPI, nVidia, nVidia GeForce 8800 GT, Optimization

November 15, 2011 by hgpu

Automatic transformation and optimization of applications on GPUs and GPU clusters

Wenjing Ma

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Tags: Algorithm optimization, Algorithms, Benchmarking, Code generation, Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2, Optimization, Tesla T10, Thesis

November 9, 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

Accelerating Outlier Detection with Uncertain Data using Graphics Processors

Visual Data Mining Using the Point Distribution Tensor

GPApriori: GPU-Accelerated Frequent Itemset Mining

Efficient Knowledge Extraction from Structured Data

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

Parallel Mining of Neuronal Spike Streams on Graphics Processing Units

Accelerating Swarm Intelligence Algorithms with GPU-Computing

Evaluation of Fermi Features for Data Mining Algorithms

The K-Anonymity Approach in Preserving the Privacy of E-Services that Implement Data Mining

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

High Performance Data Mining Using R on Heterogeneous Platforms

Automatic transformation and optimization of applications on GPUs and GPU clusters

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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