IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society 2019
DOI: 10.1109/iecon.2019.8927556
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GPGPU applied to support the construction of the state-space graphs of IOPT Petri net models

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Cited by 3 publications
(3 citation statements)
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“…Although, there is a GPU CPU limit to the number of threads per block, a kernel can be executed by multiple blocks in parallel, so the total number of threads launched is equal to the number of threads per block times the number of blocks thar compose the grid. A set of functions, such as __threadfence, __syncthreads, and atomic operations, can be used to ensure the correct access to shared and global memory, avoiding hazards that can occur from simultaneous read and write operations at the same memory address [24].…”
Section: Cuda Architecturementioning
confidence: 99%
“…Although, there is a GPU CPU limit to the number of threads per block, a kernel can be executed by multiple blocks in parallel, so the total number of threads launched is equal to the number of threads per block times the number of blocks thar compose the grid. A set of functions, such as __threadfence, __syncthreads, and atomic operations, can be used to ensure the correct access to shared and global memory, avoiding hazards that can occur from simultaneous read and write operations at the same memory address [24].…”
Section: Cuda Architecturementioning
confidence: 99%
“…The growing complexity of PLC technology and user-imposed operational and security requirements require the development of novel control mechanisms. Petri nets are a mathematical and graphical modeling tool for industrial systems [1,4,[6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Petri nets have several advantages over other programming tools, such as simple schematic diagram, hierarchical algorithms, and simple algebraic expression [21,22].…”
Section: Introductionmentioning
confidence: 99%
“…The everincreasing complexity of the PLC software and user-imposed operational and security specifications require new techniques to meet the control requirements. Petri nets (PNs) are a very interesting and useful graphical and mathematical tool for the modeling and control of manufacturing systems [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Indeed, PNs have advantages over other languages, including simple graphical representation (circles, rectangles, and arcs), structured algorithms, and simple algebraic representation [18,19].…”
Section: Introductionmentioning
confidence: 99%