Parallel and High-Performance Computing by Mukesh Raghuwanshi (.ePUB)+

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Parallel and High-Performance Computing in Artificial Intelligence by Mukesh Raghuwanshi, Pradnya Borkar, Rutvij H. Jhaveri, Roshani Raut
Requirements: .ePUB, .PDF reader, 13.8 MB
Overview: 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. 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.
Genre: Non-Fiction > Tech & Devices

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