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Concurrency with Modern C++

You're reading from   Concurrency with Modern C++ What every professional C++ programmer should know about concurrency.

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Product type Paperback
Published in Dec 2019
Publisher
ISBN-13 9781839211027
Length 543 pages
Edition 1st Edition
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Author (1):
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Rainer Grimm Rainer Grimm
Author Profile Icon Rainer Grimm
Rainer Grimm
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Table of Contents (19) Chapters Close

1. Reader Testimonials FREE CHAPTER
2. Introduction 3. Concurrency with Modern C++ 4. Memory Model 5. Multithreading 6. Parallel Algorithms of the Standard Template Library 7. The Near Future: C++20 8. Case Studies 9. The Future: C++23 10. Patterns and Best Practices 11. Synchronisation Patterns 12. Concurrent Architecture 13. Best Practices 14. Lock-Based Data Structures 15. Challenges 16. The Time Library 17. CppMem - An Overview 18. Glossary 19. Index

Data-Parallel Vector Library

The data-parallel vector library provides data-parallel (SIMD) programming via vector types. SIMD stands for Single Instruction Multiple Data and means that one operation is performed on many data in parallel. Each modern processor architecture provides SIMD extensions, but there exists no standardised C++ interface to use them. The following table gives an overview of various SIMD extensions.

SIMD Extensions
Architecture SIMD Extension Register Width
ARM 32 / 64 NEON 128 bit
Power / PowerPC AltiVec 128 bit
  VSX 128 bit
x86 / AMD 64 MMX / 3DNow 64 bit
  SSE 128 bit
  AVX / AVX2 / AVX-512 128 bit / 256 bit / 512 bit

For example, the SSE extension allows it to add four 32 bit ints in parallel. The effect is that it is...

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