high performance computing on graphics processing units: hgpu.org

hgpu.org » Microscopy

Real-Time Ultrasound Biomicroscopy with Optoacoustic Arrays

Ya Shu

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Tags: CUDA, Data acquisition, Microscopy, nVidia, nVidia Quadro FX 2000, Signal processing, Thesis, Ultrasound

January 24, 2012 by hgpu

Fast extraction of neuron morphologies from large-scale SBFSEM image stacks

Stefan Lang, Panos Drouvelis, Enkelejda Tafaj, Peter Bastian, Bert Sakmann

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Tags: Algorithms, Biology, CUDA, Electron microscopy, Image processing, Microscopy, Neuroscience, nVidia, Tesla C1060

December 8, 2011 by hgpu

GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy

Laszlo Orzo, Zoltan Gorocs, Istvan Szatmari, Szabolcs Tokes

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Tags: Computer holography, CUDA, Microscopy, nVidia, nVidia GeForce 8800 GTX, Optics, Physics

July 9, 2011 by hgpu

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Jonathan Lefman, Keana Scott, Stephan Stranick

Tags: Computer science, CUDA, Microscopy, nVidia

March 17, 2011 by hgpu

FluoroSim: A Visual Problem-Solving Environment for Fluorescence Microscopy

Cory W. Quammen, Alvin C. Richardson, Julian Haase, Benjamin D. Harrison, Russell M. Taylor, Kerry S. Bloom

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Tags: Algorithms, Biology, CUDA, Image generation, Microscopy, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package

March 2, 2011 by hgpu

Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors

M. Boyer, D. Tarjan, S. T. Acton, K. Skadron

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Tags: Biology, CUDA, Microscopy, nVidia, nVidia GeForce GTX 280

November 26, 2010 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

Real-Time Ultrasound Biomicroscopy with Optoacoustic Arrays

Fast extraction of neuron morphologies from large-scale SBFSEM image stacks

GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

FluoroSim: A Visual Problem-Solving Environment for Fluorescence Microscopy

Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors

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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