Developing parallel computing algorithms using GPU's to determine oil and gas revenues presented in the upstream (exploration) sector

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dc.contributor.authorBoodoo, Stefan T. (The University of the West Indies, Faculty of Engineering, Trinidad and Tobago)
dc.contributor.authorJoshi, Ajay (The University of the West Indies, Faculty of Engineering, Trinidad and Tobago)
dc.date.accessioned2021-04-01T15:56:09Z
dc.date.available2021-04-01T15:56:09Z
dc.date.issued2020-06
dc.descriptionInternational Conference on Emerging Trends in Engineering and Technology (IConETech) Conference held virtually from 1-5 June, 2020.en_US
dc.description.sponsorshipThe University of the West Indies, St. Augustine Campus, Faculty of Engineering, Trinidad and Tobagoen_US
dc.identifier.isbn978-976-620-3023
dc.identifier.urihttps://hdl.handle.net/2139/49531
dc.language.isoenen_US
dc.publisherThe University of the West Indies, Faculty of Engineering, Trinidad and Tobagoen_US
dc.subjectOil well loggingen_US
dc.subjectNvidia's Compute Unified Device Architectureen_US
dc.subjectGraphics Processing Unit (GPU)en_US
dc.subjectNvidia's Compute Unified Device Architecture (CUDA)en_US
dc.titleDeveloping parallel computing algorithms using GPU's to determine oil and gas revenues presented in the upstream (exploration) sectoren_US
dc.typeArticleen_US

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