high performance computing on graphics processing units: hgpu.org

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Performance Optimization of Clustering On GPU

Vijal D. Patel, Sumitra Menaria

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Tags: Algorithms, Clustering, Computer science, CUDA, Hierarchical clustering, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 4, 2014 by hgpu

A Real-Time, GPU-Based, Non-Imaging Back-End for Radio Telescopes

Alessio Magro

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Tags: Astrophysics, Clustering, CUDA, Instrumentation and Methods for Astrophysics, Intel Xeon Phi, nVidia, Tesla K20, Thesis

February 4, 2014 by hgpu

Algorithms for manipulating large geometric data

Jiri Skala

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Tags: 3D Graphics and Realism, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Thesis

December 29, 2013 by hgpu

HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads

Pinghao Li, Xiaoqian Jiang, Shuang Wang, Jihoon Kim, Hongkai Xiong, Lucila Ohno-Machado

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Source codes

Tags: Algorithms, Bioinformatics, Biology, Clustering, Compression, CUDA, nVidia, Package, Sequence alignment, Tesla M2090

December 27, 2013 by hgpu

A Distributed Data Mining Framework Accelerated with Graphics Processing Units

Nam-Luc Tran, Quentin Dugauthier, Sabri Skhiri

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Tags: Clustering, Computer science, Data mining, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, Tesla K20

December 6, 2013 by hgpu

Clustering on GPU – A Brief Survey

V.Saveetha, S.Sophia, V.Anusha Sowbarnika

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, Review

September 27, 2013 by hgpu

Fast k-NNG construction with GPU-based quick multi-select

Ivan Komarov, Ali Dashti, Roshan D'Souza

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

September 25, 2013 by hgpu

Expressed Sequence Tag Clustering using Commercial Gaming Hardware

Charl van Deventer, Willem A. Clarke, Scott Hazelhurst

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Tags: Algorithms, Bioinformatics, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package, Thesis

September 15, 2013 by hgpu

GPU Acceleration of Graph Matching, Clustering, and Partitioning

Bastiaan Onne Fagginger Auer

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Tags: Algorithms, Clustering, Computer science, CUDA, Graph theory, nVidia, Sparse matrix, Tesla C2075, Thesis

August 6, 2013 by hgpu

Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism

Jianqiang Dong, Fei Wang, Bo Yuan

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Tags: Clustering, Computer science, CUDA, nVidia, Tesla K20

August 1, 2013 by hgpu

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

David Mainzer, Gabriel Zachmann

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

July 24, 2013 by hgpu

Multi-core CUDA Architecture for Parallelization of Hierarchical Text Clustering

Debasis Pattanaik, Ajaya Kumar Malik, Pradeep Kumar Mallick

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

July 22, 2013 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance Optimization of Clustering On GPU

A Real-Time, GPU-Based, Non-Imaging Back-End for Radio Telescopes

Algorithms for manipulating large geometric data

HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads

A Distributed Data Mining Framework Accelerated with Graphics Processing Units

Clustering on GPU – A Brief Survey

Fast k-NNG construction with GPU-based quick multi-select

Expressed Sequence Tag Clustering using Commercial Gaming Hardware

GPU Acceleration of Graph Matching, Clustering, and Partitioning

Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

Multi-core CUDA Architecture for Parallelization of Hierarchical Text Clustering

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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