high performance computing on graphics processing units: hgpu.org

hgpu.org » Clustering

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

Renato Farias, Ricardo Farias, Ricardo Marroquim, Esteban Clua

View

Download (PDF)

Tags: Algorithms, Clustering, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 470

July 19, 2013 by hgpu

GPU-accelerated protein family identification for metagenomics

Changjun Wu, Ananth Kalyanaraman

View

Download (PDF)

Tags: Biology, Clustering, CUDA, Graph theory, nVidia, Tesla K20

May 25, 2013 by hgpu

Performance impact of dynamic parallelism on different clustering algorithms

Jeffrey DiMarco, Michela Taufer

View

Download (PDF)

Tags: Algorithms, Clustering, Computer science, CUDA, Hierarchical clustering, nVidia, Tesla K20

May 7, 2013 by hgpu

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

Benjamin Welton, Evan Samanas, Barton P. Miller

View

Download (PDF)

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

April 30, 2013 by hgpu

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

S.A. Arul Shalom, Manoranjan Dash

View

Download (PDF)

Tags: Algorithms, Clustering, CUDA, nVidia, nVidia GeForce 8800 GTX

April 15, 2013 by hgpu

Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

Hui Li, Geoffrey Fox, Gregor Laszewski, Zhenhua Guo, Judy Qiu

View

Download (PDF)

Tags: Clustering, CUDA, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia

April 13, 2013 by hgpu

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

Boyang Gao, Emmanuel Dellandrea, Liming Chen

View

Download (PDF)

Tags: Clustering, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Signal processing

March 26, 2013 by hgpu

Parallel Particle Swarm Optimization for Image Segmentation

Agustinus Kristiadi, Pranowo Pranowo, Paulus Mudjihartono

View

Download (PDF)

Tags: Clustering, CUDA, Image processing, nVidia, nVidia GeForce G 110 M, Particle swarm optimization

March 14, 2013 by hgpu

GPU-Accelerated Standardand Multi-Population Cultural Algorithms

Jianqiang Dong and Bo Yuan

View

Download (PDF)

Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

March 7, 2013 by hgpu

ClusCo: clustering and comparison of protein models

Jamroz Michal, Kolinski Andrzej

View

Download (PDF)

Source codes

Tags: Biology, Biomolecules, Clustering, Computational Engineering, CUDA, Finance, nVidia, nVidia GeForce GTX 470, Package

February 20, 2013 by hgpu

Document Stream Clustering using GPUs

Michael J. Szaszy, Hanan Samet

View

Download (PDF)

Tags: Algorithms, Clustering, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 480, Performance

February 9, 2013 by hgpu

Skeleton-based edge bundling for graph visualization

Ozan Ersoy, Christophe Hurter, Fernando V. Paulovich, Gabriel Cantareira, Alexandru Telea

View

Download (PDF)

Tags: Clustering, Computer science, Graph theory, nVidia, nVidia GeForce GT 330 M, OpenGL, Visualization

December 25, 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

* * *

high performance computing on graphics processing units: hgpu.org

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

GPU-accelerated protein family identification for metagenomics

Performance impact of dynamic parallelism on different clustering algorithms

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

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

Parallel Particle Swarm Optimization for Image Segmentation

GPU-Accelerated Standardand Multi-Population Cultural Algorithms

ClusCo: clustering and comparison of protein models

Document Stream Clustering using GPUs

Skeleton-based edge bundling for graph visualization

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

Most viewed papers (last 30 days)