Programming Persistent Memory: A Comprehensive Guide for Developers

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 andhardware 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 MemoryDevelopment 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
  

Who This Book Is For

C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.