scholarly journals Comparative Performance Analysis of Intel (R) Xeon Phi (TM), GPU, and CPU: A Case Study from Microscopy Image Analysis

2014 ◽  
Author(s):  
George Teodoro ◽  
Tahsin Kurc ◽  
Jun Kong ◽  
Lee Cooper ◽  
Joel Saltz
Keyword(s):  
Image Analysis ◽  
Performance Analysis ◽  
Xeon Phi ◽  
Comparative Performance ◽  
Microscopy Image ◽  
Microscopy Image Analysis

scholarly journals Application performance analysis and efficient execution on systems with multi-core CPUs, GPUs and MICs: a case study with microscopy image analysis

2016 ◽  
Vol 31 (1) ◽  
pp. 32-51 ◽  
Author(s):  
George Teodoro ◽  
Tahsin Kurc ◽  
Guilherme Andrade ◽  
Jun Kong ◽  
Renato Ferreira ◽  
...  
Keyword(s):  
Image Analysis ◽  
Data Access ◽  
Performance Study ◽  
Comparative Performance ◽  
Application Performance ◽  
Microscopy Image ◽  
Scheduling Strategies ◽  
Data Access Patterns ◽  
Access Patterns ◽  
Microscopy Image Analysis

We carry out a comparative performance study of multi-core CPUs, GPUs and Intel Xeon Phi (Many Integrated Core (MIC)) with a microscopy image analysis application. We experimentally evaluate the performance of computing devices on core operations of the application. We correlate the observed performance with the characteristics of computing devices and data access patterns, computation complexities, and parallelization forms of the operations. The results show a significant variability in the performance of operations with respect to the device used. The performances of operations with regular data access are comparable or sometimes better on a MIC than that on a GPU. GPUs are more efficient than MICs for operations that access data irregularly, because of the lower bandwidth of the MIC for random data accesses. We propose new performance-aware scheduling strategies that consider variabilities in operation speedups. Our scheduling strategies significantly improve application performance compared with classic strategies in hybrid configurations.

Applications of Deep Learning in Microscopy Image Analysis

2021 ◽  
pp. 104523
Author(s):  
Zhichao Liu ◽  
Luhong Jin ◽  
Jincheng Chen ◽  
Qiuyu Fang ◽  
Sergey Ablameyko ◽  
...  
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Microscopy Image ◽  
Microscopy Image Analysis

Assessment of HPV Risk Type in H&E-stained Biopsy Specimens of the Cervix by Microscopy Image Analysis

2019 ◽  
Vol 28 (9) ◽  
pp. 702-710
Author(s):  
Christos Konstantinou ◽  
Spiros Kostopoulos ◽  
Dimitris Glotsos ◽  
Ioannis Kalatzis ◽  
Pantelis Asvestas ◽  
...  
Keyword(s):  
Image Analysis ◽  
Biopsy Specimens ◽  
Microscopy Image ◽  
Microscopy Image Analysis

Virulent strain ofLichtheimia corymbiferashows increased phagocytosis by macrophages as revealed by automated microscopy image analysis

Mycoses ◽  
2014 ◽  
Vol 57 ◽  
pp. 56-66 ◽  
Author(s):  
Kaswara Kraibooj ◽  
Hea-Reung Park ◽  
Hans-Martin Dahse ◽  
Christine Skerka ◽  
Kerstin Voigt ◽  
...  
Keyword(s):  
Image Analysis ◽  
Virulent Strain ◽  
Microscopy Image ◽  
Automated Microscopy ◽  
Microscopy Image Analysis
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