Parallel Computing Architectures and APIs: Iot Big Data Stream Processing

This book addresses the challenge of provisioning of parallel hardware and software enabling high-performance parallel processing in the context of requirements dictated by big data systems. It gives description of parallel programming techniques that are necessary for efficient programs for multicore processors and parallel cluster systems.

Vivek Kale has more than two decades of professional IT experience during which he has handled and consulted on various aspects of enterprise-wide information modeling, enterprise architectures, business process re-design, and, e-business architectures. He has been Group CIO of　Essar Group, the　steel/oil & gas major of India,　as well as,　Raymond Ltd., the textile & apparel major of India. He is a seasoned practitioner in enhancing business agility through digital transformation of business models, enterprise architecture and business processes, and, enhancing IT-enabled enterprise intelligence (EQ). He has authored books on Cloud Computing and Big Data Computing. He is also author of Big Data Computing: A Guide for Business and Technology Managers(CRC Press, 2016), Agile Network Businesses: Collaboration, Coordination, and Competitive Advantage (CRC Press 2017), and, Digital Transformation of Enterprise Architecture (CRC Press 2020).