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    S. VAISHNAVI

ISBN: 9789356282957

Parallel Processing

by: S. VAISHNAVI

In this book, Parallel processing is taught which is a method in computing of running two or more processors (CPUs) to handle separate parts of an overall task. These multi-core set-ups are similar to having multiple, separate processors installed in the same computer. The book focus on memory technology and optimization technique by understanding the different types of parallelism, The course concentrates on reviewing the memory hierarchy and cache performance in parallel processors. The objectives of this book are to: *Present the design of parallel programs and how to evaluate their execution *Give knowledge of the characteristics, the benefits and the limitations of parallel systems and distributed infrastructures *Analyze the parallel programs in different operating system and build the programming model. *Encourage students to Build experience with interdisciplinary teamwork. On completion of this book the student will be able to: *Analyze the requirements for programming parallel and critically evaluate the strengths and weaknesses of parallel programming models and how they can be used to facilitate the programming of concurrent systems. *Interpret the difference between the major classes of Instruction set architecture. *Design and implement a SIMD and MIMD parallel processing solution for problems. *Understand the performances of processors and solve the optimization problems.

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About This Book

    In this book, Parallel processing is taught which is a method in computing of running two or more processors (CPUs) to handle separate parts of an overall task. These multi-core set-ups are similar to having multiple, separate processors installed in the same computer. The book focus on memory technology and optimization technique by understanding the […]

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ISBN: 9789356282957
SKU: WB9994
Publisher: BlueRose Publishers
Publish Date: 2022
Page Count: 118

Meet the Author
Blue rose author
Ms.S.Vaishnavi received her M.E from Anna University, Chennai. She is Gold Medalist in P.G. She is currently pursuing her Ph.D. in Anna University, Chennai. She has a teaching experience of 7 years. She is currently working in REVA University as Assistant Professor. Her research area is the Internet of Things. Dr. N.P.Nethravathi obtained her Ph.D. in Computer Science in Jan 2018 from Visvesvaraya Technological University Belagavi, Karnataka. She has total 23+ years of experience in Teaching and more than 10+ years in Research. Presently she is rendering her services as Professor in the School of Computer Science & Engineering, REVA University, Bangalore. Dr. T. Prasanth received the PhD degree in the Department of Information and Communication Engineering from the Anna University, Chennai, India in 2020 & he also received the M.Tech. degree in the Department of Information Technology from the SRM University, Chennai, India in 2011. Currently, he is working as an Associate Professor in the Department of Computer Science and Engineering at Reva University, Bangalore. His research interests include big data analytics, machine learning and social network analysis. Dr. Sasidhar Babu Suvanam obtained the PhD in Computer Science in March 2012 from Swami Ramananda Theerth Marathwada (Government) University Nanded, Maharashtra. He has total 24+ years of experience in Teaching and more than 14+ years in Research. Presently he is rendering his services as Professor in the School of Computer Science & Engineering, REVA University, Bangalore.

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Weight 0.345 kg
Dimensions 27.94 x 21.59 x 2.5 cm

“Parallel Processing”

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