SemOpenAlex |

SemOpenAlex

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089170239> ?p ?o ?g. }

Showing items 1 to 92 of 92 with 100 items per page.

W3089170239 endingPage "1199" @default.
W3089170239 startingPage "1199" @default.
W3089170239 abstract "Long-timescale simulations of biological processes such as photosynthesis or attempts to solve NP-hard problems such as traveling salesman, knapsack, Hamiltonian path, and satisfiability using membrane systems without appropriate parallelization can take hours or days. Graphics processing units (GPU) deliver an immensely parallel mechanism to compute general-purpose computations. Previous studies mapped one membrane to one thread block on GPU. This is disadvantageous given that when the quantity of objects for each membrane is small, the quantity of active thread will also be small, thereby decreasing performance. While each membrane is designated to one thread block, the communication between thread blocks is needed for executing the communication between membranes. Communication between thread blocks is a time-consuming process. Previous approaches have also not addressed the issue of GPU occupancy. This study presents a classification algorithm to manage dependent objects and membranes based on the communication rate associated with the defined weighted network and assign them to sub-matrices. Thus, dependent objects and membranes are allocated to the same threads and thread blocks, thereby decreasing communication between threads and thread blocks and allowing GPUs to maintain the highest occupancy possible. The experimental results indicate that for 48 objects per membrane, the algorithm facilitates a 93-fold increase in processing speed compared to a 1.6-fold increase with previous algorithms." @default.
W3089170239 created "2020-10-01" @default.
W3089170239 creator A5050788485 @default.
W3089170239 creator A5079386779 @default.
W3089170239 date "2020-09-22" @default.
W3089170239 modified "2023-10-14" @default.
W3089170239 title "A Representation of Membrane Computing with a Clustering Algorithm on the Graphical Processing Unit" @default.
W3089170239 cites W1543758866 @default.
W3089170239 cites W1966367054 @default.
W3089170239 cites W2047872411 @default.
W3089170239 cites W2076482674 @default.
W3089170239 cites W2078721675 @default.
W3089170239 cites W2092138534 @default.
W3089170239 cites W2092241121 @default.
W3089170239 cites W2117689653 @default.
W3089170239 cites W2124920465 @default.
W3089170239 cites W2316866317 @default.
W3089170239 cites W2510957045 @default.
W3089170239 cites W2577459095 @default.
W3089170239 cites W2604635066 @default.
W3089170239 cites W2786178415 @default.
W3089170239 cites W2883153915 @default.
W3089170239 cites W2895519740 @default.
W3089170239 cites W2898227364 @default.
W3089170239 cites W2903140530 @default.
W3089170239 cites W2904444054 @default.
W3089170239 cites W2911283711 @default.
W3089170239 cites W2944123949 @default.
W3089170239 cites W2944528912 @default.
W3089170239 cites W2973036784 @default.
W3089170239 cites W2982527909 @default.
W3089170239 cites W2988544579 @default.
W3089170239 cites W2995890762 @default.
W3089170239 cites W3005620873 @default.
W3089170239 cites W3017017472 @default.
W3089170239 cites W3024993827 @default.
W3089170239 cites W3035722702 @default.
W3089170239 doi "https://doi.org/10.3390/pr8091199" @default.
W3089170239 hasPublicationYear "2020" @default.
W3089170239 type Work @default.
W3089170239 sameAs 3089170239 @default.
W3089170239 citedByCount "3" @default.
W3089170239 countsByYear W30891702392021 @default.
W3089170239 crossrefType "journal-article" @default.
W3089170239 hasAuthorship W3089170239A5050788485 @default.
W3089170239 hasAuthorship W3089170239A5079386779 @default.
W3089170239 hasBestOaLocation W30891702391 @default.
W3089170239 hasConcept C111919701 @default.
W3089170239 hasConcept C11413529 @default.
W3089170239 hasConcept C138101251 @default.
W3089170239 hasConcept C154945302 @default.
W3089170239 hasConcept C173608175 @default.
W3089170239 hasConcept C175859090 @default.
W3089170239 hasConcept C185592680 @default.
W3089170239 hasConcept C41008148 @default.
W3089170239 hasConcept C41625074 @default.
W3089170239 hasConcept C55493867 @default.
W3089170239 hasConcept C73555534 @default.
W3089170239 hasConcept C96011364 @default.
W3089170239 hasConceptScore W3089170239C111919701 @default.
W3089170239 hasConceptScore W3089170239C11413529 @default.
W3089170239 hasConceptScore W3089170239C138101251 @default.
W3089170239 hasConceptScore W3089170239C154945302 @default.
W3089170239 hasConceptScore W3089170239C173608175 @default.
W3089170239 hasConceptScore W3089170239C175859090 @default.
W3089170239 hasConceptScore W3089170239C185592680 @default.
W3089170239 hasConceptScore W3089170239C41008148 @default.
W3089170239 hasConceptScore W3089170239C41625074 @default.
W3089170239 hasConceptScore W3089170239C55493867 @default.
W3089170239 hasConceptScore W3089170239C73555534 @default.
W3089170239 hasConceptScore W3089170239C96011364 @default.
W3089170239 hasIssue "9" @default.
W3089170239 hasLocation W30891702391 @default.
W3089170239 hasOpenAccess W3089170239 @default.
W3089170239 hasPrimaryLocation W30891702391 @default.
W3089170239 hasRelatedWork W1532146045 @default.
W3089170239 hasRelatedWork W1569109055 @default.
W3089170239 hasRelatedWork W1579918296 @default.
W3089170239 hasRelatedWork W1586422308 @default.
W3089170239 hasRelatedWork W1594563977 @default.
W3089170239 hasRelatedWork W2170268965 @default.
W3089170239 hasRelatedWork W2187267005 @default.
W3089170239 hasRelatedWork W2354746308 @default.
W3089170239 hasRelatedWork W4232891356 @default.
W3089170239 hasRelatedWork W4240835729 @default.
W3089170239 hasVolume "8" @default.
W3089170239 isParatext "false" @default.
W3089170239 isRetracted "false" @default.
W3089170239 magId "3089170239" @default.
W3089170239 workType "article" @default.