Programming Persistent Memory: A Comprehensive Guide for Developers

Programming Persistent Memory: A Comprehensive Guide for Developers
Authors: Steve Scargall
ISBN-10: 1484249313
ISBN-13: 9781484249314
Edition 版次: 1st ed.
Publication Date 出版日期: 2020-01-10
Print Length 页数: 438 pages
Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements,and offers great promise for better performance and faster application startup times―a huge leap forward in byte-addressable capacity compared with current DRAM offerings.
This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing,which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include,but are not limited to,in-memory and traditional databases,AI,analytics,HPC,virtualization,and big data.
Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C,C++,JavaScript,and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included.
What You’ll Learn
Understand what persistent memory is,what it does,and the value it brings to the industry
Become familiar with the operating system and hardware requirements to use persistent memory
Know the fundamentals of persistent memory programming: why it is different from current programming methods,and what developers need to keep in mind when programming for persistence
Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)
Design and optimize data structures for persistent memory
Study how real-world applications are modified to leverage persistent memory
Utilize the tools available for persistent memory programming,application performance profiling,and debugging
Contents
Abbreviations
List of Figures
List of Tables
1Introduction
2Background
3 Coprocessor for Koblitz Curves
4Discrete Gaussian Sampling
5 Ring-LWE Public Key Encryption Processor
6Conclusions and Future Work
Appendix A High Speed Scalar Conversion for Koblitz Curves
A.1 lmproved Double Digit INAF Generation
A.2 Hardware Architecture
A.3 Implementation Results
Appendix B Implementation of Operations Used by Algorithm 6
Appendix Curriculum Vitae
Appendix References

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