high performance computing on graphics processing units: hgpu.org

hgpu.org » Microscopy

Visualization of Large Volumetric Multi-Channel Microscopy Data Streams on Standard PCs

Tobias Brix, Jorg-Stefan Prassni, Klaus Hinrichs

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Tags: ATI, Computer science, Graphics, Microscopy, OpenCL, Rendering, Visualization

July 11, 2014 by hgpu

Region Templates: Data Representation and Management for Large-Scale Image Analysis

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Scott Klasky, Joel Saltz

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Tags: Computer science, CUDA, Heterogeneous systems, Hybrid computing, Microscopy, nVidia, OpenCV, Tesla M2090

June 2, 2014 by hgpu

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

George Teodoro, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

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Tags: Computer science, CUDA, Intel Phi, Intel Xeon Phi, Microscopy, nVidia, OpenMP, Performance, Task scheduling, Tesla K20

November 6, 2013 by hgpu

gEMpicker: A Highly Parallel GPU-Accelerated Particle Picking Tool for Cryo-Electron Microscopy

Thai V. Hoang, Xavier Cavin, Patrick Schultz, David W. Ritchie

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Tags: Algorithms, Biology, Cryo-EM, CUDA, Electron microscopy, FFT, Macromolecule, Microscopy, nVidia, Tesla C1060, Tesla C2075

October 24, 2013 by hgpu

gEMfitter: A Highly Parallel FFT-Based 3D Density Fitting Tool With GPU Texture Memory Acceleration

Thai V. Hoang, Xavier Cavin, David W. Ritchie

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Tags: Biology, Cryo-EM, CUDA, Electron microscopy, FFT, Macromolecule, Microscopy, nVidia, Tesla C2075

September 28, 2013 by hgpu

Evolutionary Algorithm for Optimizing Parameters of GPGPU-based Image Segmentation

Sandor Szenasi, Zoltan Vamossy

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Tags: Algorithms, CUDA, Genetic programming, Image processing, Microscopy, nVidia

August 30, 2013 by hgpu

Efficient bayesian multi-view deconvolution

Stephan Preibisch, Fernando Amat, Evangelia Stamataki, Mihail Sarov, Eugene Myers, Pavel Tomancak

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Tags: Bayesian, Biology, CUDA, Microscopy, nVidia, nVidia Quadro 4000, Package

August 6, 2013 by hgpu

Image reconstruction in digital holographic microscopy on GPU

Andrej Krejcir

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Microscopy, nVidia, nVidia GeForce GTX 470, Optimization, Package, Thesis

July 21, 2013 by hgpu

3D Haar-Like Elliptical Features for Object Classification in Microscopy

Fernando Amat, Philipp J. Keller

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Tags: Computer vision, Microscopy, Wavelet

April 13, 2013 by hgpu

High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms

George Teodoro, Tony Pan, Tahsin M. Kurc, Jun Kong, Lee A. D. Cooper, Norbert Podhorszki, Scott Klasky, Joel H. Saltz

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Tags: CUDA, GPU cluster, Image processing, Microscopy, nVidia, Prefetch, Tesla M2090

January 6, 2013 by hgpu

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

Giovanni Cerchiari, Fabrizio Croccolo, Frederic Cardinaux, Frank Scheffold

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Tags: CUDA, Data acquisition, Microscopy, nVidia, Optics, Physics, Soft Condensed Matter, Tesla C2050

September 18, 2012 by hgpu

A Fast Parallel Implementation of Queue-based Morphological Reconstruction using GPUs

George Teodoro, Tony Pan, Tahsin M. Kurc, Lee Cooper, Jun Kong, Joel H. Saltz

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Tags: Algorithms, CUDA, Image processing, Microscopy, nVidia, nVidia GeForce GTX 580, Tesla C2070

February 5, 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

Visualization of Large Volumetric Multi-Channel Microscopy Data Streams on Standard PCs

Region Templates: Data Representation and Management for Large-Scale Image Analysis

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

gEMpicker: A Highly Parallel GPU-Accelerated Particle Picking Tool for Cryo-Electron Microscopy

gEMfitter: A Highly Parallel FFT-Based 3D Density Fitting Tool With GPU Texture Memory Acceleration

Evolutionary Algorithm for Optimizing Parameters of GPGPU-based Image Segmentation

Efficient bayesian multi-view deconvolution

Image reconstruction in digital holographic microscopy on GPU

3D Haar-Like Elliptical Features for Object Classification in Microscopy

High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

A Fast Parallel Implementation of Queue-based Morphological Reconstruction using GPUs

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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