9781032540870 - parallel and high-performance computing in artificial intelligence (16 risultati)
Parallel and High-performance Computing in Artificial Intelligence
Raghuwanshi, Mukesh (EDT); Borkar, Pradnya (EDT); Jhaveri, Rutvij H. (EDT); Raut, Roshani (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Parallel and High-performance Computing in Artificial Intelligence
Raghuwanshi, Mukesh (EDT); Borkar, Pradnya (EDT); Jhaveri, Rutvij H. (EDT); Raut, Roshani (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Parallel and High-performance Computing in Artificial Intelligence
Raghuwanshi, Mukesh (EDT); Borkar, Pradnya (EDT); Jhaveri, Rutvij H. (EDT); Raut, Roshani (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: California Books, Miami, FL, U.S.A.California Books
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Parallel and High-performance Computing in Artificial Intelligence
Raghuwanshi, Mukesh (EDT); Borkar, Pradnya (EDT); Jhaveri, Rutvij H. (EDT); Raut, Roshani (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Hardcover. Condizione: Brand New. 336 pages. 9.18x6.12x9.21 inches. In Stock.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automati…on, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.The book's two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include:HPC use cases, application programming interfaces (APIs), and applicationsParallelization techniquesHPC for machine learningImplementation of parallel computing with AI in big data analyticsHPC with AI in healthcare systemsAI in industrial automationCoverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems.As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book's discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI. 342 pp. Englisch.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 192,02
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Hardcover. Condizione: new. Hardcover. Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioi…nformatics, natural language processing (NLP), and vision intelligence.The books two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include:HPC use cases, application programming interfaces (APIs), and applicationsParallelization techniquesHPC for machine learningImplementation of parallel computing with AI in big data analyticsHPC with AI in healthcare systemsAI in industrial automationCoverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems.As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the books discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI. The book explores high-performance architectures for data-intensive applications, as well as efficient analytical strategies, to speed up data processing in applications in automation, machine learning, deep learning, bioinformatics, natural language processing, and vision intelligence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 204,80
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, m…achine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.The book's two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include:HPC use cases, application programming interfaces (APIs), and applicationsParallelization techniquesHPC for machine learningImplementation of parallel computing with AI in big data analyticsHPC with AI in healthcare systemsAI in industrial automationCoverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems.As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book's discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI.
