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20122024
most citedPerformance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs

8 citations · 19 across the 8 of their papers we have counts for

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cs.DC20223 cited

Efficient Strategies for Graph Pattern Mining Algorithms on GPUs

Samuel Ferraz, Vinicius Dias, Carlos H. C. Teixeira +2

Graph Pattern Mining (GPM) is an important, rapidly evolving, and computation demanding area. GPM computation relies on subgraph enumeration, which consists in extracting subgraphs…

cs.DC2019

Run-time Parameter Sensitivity Analysis Optimizations

Eduardo Scartezini, Willian Barreiros, Tahsin Kurc +4

Efficient execution of parameter sensitivity analysis (SA) is critical to allow for its routinely use. The pathology image processing application investigated in this work processe…

cs.DC2018

Accelerating Sensitivity Analysis in Microscopy Image Segmentation Workflows

Willian de Oliveira Barreiros Junior, George Teodoro

With the increasingly availability of digital microscopy imagery equipments there is a demand for efficient execution of whole slide tissue image applications. Through the process…

cs.DC2018

Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance

Luis F. R. Taveira, Tahsin Kurc, Alba C. M. A. Melo +4

We propose a software platform that integrates methods and tools for multi-objective parameter auto- tuning in tissue image segmentation workflows. The goal of our work is to provi…

cs.DC2016

Efficient Execution of Irregular Wavefront Propagation Pattern on Many Integrated Core Architecture

Jeremias Gomes, George Teodoro

The efficient execution of image processing algorithms is an active area of Bioinformatics. In image processing, one of the classes of algorithms or computing pattern that works wi…

cs.DC20158 cited

Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs

George Teodoro, Tahsin Kurc, Guilherme Andrade +3

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 experimentall…