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Parallel and High-Performance Computing in Artificial Intelligence by Raghuwanshi, Mukesh;Borkar, Pradnya;Jhaveri, Rutvij H.;Raut, Roshani; & Pradnya Borkar & Rutvij H. Jhaveri & Roshani Raut is a nonfiction available to read on EtoBox.
What is Parallel and High-Performance Computing in Artificial Intelligence about?
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, 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 applications, • Parallelization techniques, • HPC for machine learning, • Implementation of parallel computing with AI in big data analytics, • HPC with AI in healthcare systems, • AI in industrial automation, Coverage 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 appl
Who reads Parallel and High-Performance Computing in Artificial Intelligence?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Raghuwanshi, Mukesh;Borkar, Pradnya;Jhaveri, Rutvij H.;Raut, Roshani; & Pradnya Borkar & Rutvij H. Jhaveri & Roshani Raut
- Publisher
- Auerbach Publishers, Incorporated
- Published
- 2025
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem
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