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Visualization and Correction of Automated Segmentation, Tracking and Lineaging from 5-D Stem Cell Image Sequences

Eric Wait, Mark Winter, Chris Bjornsson, Erzsebet Kokovay, Yue Wang, Susan Goderie, Sally Temple, Andrew Cohen

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Tags: Biology, Computer science, CUDA, Graphics, Image processing, Microscopy, nVidia, nVidia GeForce GTX 430, Visualization

July 11, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

Visualization and Correction of Automated Segmentation, Tracking and Lineaging from 5-D Stem Cell Image Sequences

Recent source codes

pharos: performance monitoring instrumentation for multi-FPGA systems

Efficient Video Compression via Content-Adaptive Super-Resolution

CUDA Modular Polynomial (CUMODP) Library

Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters

CUDA Tutorial - Cryptanalysis of Classical Ciphers Using Modern GPUs and CUDA

Ginkgo: a high-performance linear algebra library for manycore systems, with a focus on sparse solution of linear systems

Exa.TrkX: Machine Learning for Particle Track Reconstruction

A Compiler Infrastructure for Accelerator Generators

LIKWID: A Lightweight Performance-Oriented Tool Suite

hls4ml: A package for machine learning inference in FPGAs

Most viewed papers (last 30 days)

Featured events

9th International Workshop on OpenCL and SYCL, 2021

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020