Alireza Poshtkohi, M. B. Ghaznavi-Ghoushchi

Implementing Parallel and Distributed Systems (eBook, PDF)

• Format: PDF

Produktbeschreibung

The book examines practices that underly the development of the vast majority of parallel and distributed systems particularly IoT, Grid/Cloud Computing, and supercomputers. Computer architecture, operating systems, and parallel programming techniques as well as models for many-core processors, supercomputers and networks are covered.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 426
• Erscheinungstermin: 13. April 2023
• Englisch
• ISBN-13: 9781000860139
• Artikelnr.: 67429507

Autorenporträt

Alireza Poshtkohi applies computer science and mathematics to tackle grand research challenges in engineering, physics, and medicine. He has worked internationally in both academia and industry in many different roles ranging from computer scientist, neuroscientist, university lecturer, electronics engineer, software engineer, IT consultant and data centre architect, to full-stack developer. He holds BSc and MSc degrees and a PhD in electrical and electronics engineering and computational neuroscience, respectively. To date, he has taught 17 courses-such as parallel algorithms, advanced algorithms, operating systems, and computer networks, to name just a few-in electrical and computer engineering departments at different universities. His current research interests include applied mathematics, biophysics, high-performance computing, and theoretical physics.

M. B. Ghaznavi-Ghoushchi holds a BSc degree from Shiraz University, Shiraz, Iran (1993), and MSc and PhD both from Tarbiat Modares University (TMU), Tehran, Iran, in 1997 and 2003, respectively. During 2003-2004, he was a researcher at TMU Institute of Information Technology. He is the founder and director of High-Performance and Cloud Computing (HPCC) and Integrated Circuits and Systems (ICS) laboratories at Shahed University. He is currently an associate professor at Shahed University, Tehran, Iran. His interests include VLSI Design; Low Power and Energy-Efficient circuits and systems; Computer-Aided Design Automation for Mixed Signal; and UML-based designs for SoC and Mixed-Signal.

Inhaltsangabe

Preface. Acknowledgement. Authors. 1 Introduction. 2 IoT and Distributed
Systems. 3 Advanced Operating System Concepts in Distributed Systems
Design. 4 Parallelism for the Many-Core Era: Hardware and Software
Perspectives. 5 Parallelisation for the Many-Core Era: A Programming
Perspective. 6 Storage Systems: A Parallel Programming Perspective. 7
Computer Networks: A Parallel Programming Approach. 8 Parvicursor.NET
Framework: A Partial, Native, and Cross-Platform C++ Implementation of the
.NET Framework. 9 Parvicursor Infrastructure to Facilitate the Design of
Grid/Cloud Computing and HPC Systems. 10 xDFS: A Native Cross-Platform
Framework for Efficient File Transfers in Dynamic Cloud/Internet
Environments. 11 Parallel Programming Languages for High-Performance
Computing. Index.

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Preface. Acknowledgement. Authors. 1 Introduction. 2 IoT and Distributed Systems. 3 Advanced Operating System Concepts in Distributed Systems Design. 4 Parallelism for the Many-Core Era: Hardware and Software Perspectives. 5 Parallelisation for the Many-Core Era: A Programming Perspective. 6 Storage Systems: A Parallel Programming Perspective. 7 Computer Networks: A Parallel Programming Approach. 8 Parvicursor.NET Framework: A Partial, Native, and Cross-Platform C++ Implementation of the .NET Framework. 9 Parvicursor Infrastructure to Facilitate the Design of Grid/Cloud Computing and HPC Systems. 10 xDFS: A Native Cross-Platform Framework for Efficient File Transfers in Dynamic Cloud/Internet Environments. 11 Parallel Programming Languages for High-Performance Computing. Index.