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From AI breakthroughs to space exploration, the world's toughest
problems demand more than raw computing power—they require intelligent design. Computer
Architecture and Parallel Processing is your gateway to understanding the
systems that power today's high-stakes technologies.
This book
takes you beyond traditional computing into the realm of high performance systems
where speed, scale, and efficiency converge. Inside, you will uncover the
building blocks of cutting-edge architectures—pipelined designs, array
processors, and multiprocessor systems—along with the programming models that
bring them to life.
With
real-world case studies including Cray, IBM, and ILLIAC machines, you will see
how theory meets practice in the race for faster computation. Explore how memory
structures, interconnect networks, and parallel algorithms shape performance,
and how smart software design unlocks hardware potential.
Whether you
are a student preparing for advanced coursework or a professional seeking
deeper technical insight, this book speaks your language. It does not just
explain how parallel computing works—it shows you how to use it, design it, and
innovate with it.
Featuring
clear examples, programming illustrations in Fortran and concurrent Pascal, and
curated reading suggestions, this edition is built for exploration and
practical impact. Advanced topics are included for those
ready to push the boundaries even further.
If you are ready to think in parallel and design for performance, this book is your starting point.
| Specifications | Descriptions |
|---|---|
| ISBN | 9789349881297 |
| Published Year | 2026 |
| Binding | Paperback |
| Subject | Computer Science/Computer Architecture/Software Programming/Electronics Engineering |
| Pages | 858 |
| Weight | 0.9 (In Kg) |
| Readership | Undergraduate and postgraduate students of courses in computer science and parallel programming in the concerned branches of engineering—computer science, electronics and communication engineering, electrical and industrial engineering |
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