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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 Yoüll 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.
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 Yoüll 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.
Steve Scargall is a persistent memory software/cloud architect within Intel's Data Center Group (DCG). He contributes to the SNIA NVM Programming Technical Work Group, PMDK, NDCTL, and other open sources projects. With more than 18 years of enterprise application and filesystem IO performance analysis, Steve now works on the exciting and disruptive bleeding edge of persistent memory application design solutions. He works with ISVs and CSPs to enable and deliver persistent memory solutions.
The first book to fully explain the revolutionary new technology of persistent memory programming
Offers vendor-neutral coverage of persistent memory technologies, including reference to existing real-world products and services
Describes a set of development libraries and tools designed to standardize and streamline work for developers looking to create or adapt an application to use persistent memory
Chapter 1: Introduction to Persistent Memory Programming.- Chapter 2: Persistent Memory Architecture.- Chapter 3: Operating System Support for Persistent Memory.- Chapter 4: Fundamental Concepts of Persistent Memory Programming.- Chapter 5: Introducing the Persistent Memory Development Kit.- Chapter 6: libpmem: Low-Level Persistent Memory Support.- Chapter 7: libpmemobj - A Native Transactional Object Store.- Chapter 8: libpmemobj-cpp: The adaptable language C++ and Persistent Memory.- Chapter 9: pmemkv - A Persistent In-Memory Key-Value Store.- Chapter 10: Volatile Use of Persistent Memory.- Chapter 11: Designing Data Structures for Persistent Memory.- Chapter 12: Debugging Persistent Memory Applications.- Chapter 13: Enabling Persistence in a Real World Application.- Chapter 14: Concurrency and Persistent Memory.- Chapter 15: Profiling and Performance.- Chapter 16: PMDK Internals - Important Algorithms and Data Structures.- Chapter 17: Reliability, Availability and Serviceability.- Chapter 18: Remote Persistent Memory.- Chapter 19: Advanced Topics.- Appendix A: Installing NDCTL and DAXCTL on Linux.- Appendix B: Installing PMDK on Linux & Windows.- Appendix C: Installing IPMCTL on Linux and Windows.- Appendix D: Java for Persistent Memory.- Appendix E: The Future of Remote Persistent Memory Replocation.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Datenkommunikation, Netze & Mailboxen |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxxi
438 S. 104 s/w Illustr. 438 p. 104 illus. |
ISBN-13: | 9781484249314 |
ISBN-10: | 1484249313 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Scargall, Steve |
Auflage: | First Edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 254 x 178 x 26 mm |
Von/Mit: | Steve Scargall |
Erscheinungsdatum: | 10.01.2020 |
Gewicht: | 0,88 kg |
Steve Scargall is a persistent memory software/cloud architect within Intel's Data Center Group (DCG). He contributes to the SNIA NVM Programming Technical Work Group, PMDK, NDCTL, and other open sources projects. With more than 18 years of enterprise application and filesystem IO performance analysis, Steve now works on the exciting and disruptive bleeding edge of persistent memory application design solutions. He works with ISVs and CSPs to enable and deliver persistent memory solutions.
The first book to fully explain the revolutionary new technology of persistent memory programming
Offers vendor-neutral coverage of persistent memory technologies, including reference to existing real-world products and services
Describes a set of development libraries and tools designed to standardize and streamline work for developers looking to create or adapt an application to use persistent memory
Chapter 1: Introduction to Persistent Memory Programming.- Chapter 2: Persistent Memory Architecture.- Chapter 3: Operating System Support for Persistent Memory.- Chapter 4: Fundamental Concepts of Persistent Memory Programming.- Chapter 5: Introducing the Persistent Memory Development Kit.- Chapter 6: libpmem: Low-Level Persistent Memory Support.- Chapter 7: libpmemobj - A Native Transactional Object Store.- Chapter 8: libpmemobj-cpp: The adaptable language C++ and Persistent Memory.- Chapter 9: pmemkv - A Persistent In-Memory Key-Value Store.- Chapter 10: Volatile Use of Persistent Memory.- Chapter 11: Designing Data Structures for Persistent Memory.- Chapter 12: Debugging Persistent Memory Applications.- Chapter 13: Enabling Persistence in a Real World Application.- Chapter 14: Concurrency and Persistent Memory.- Chapter 15: Profiling and Performance.- Chapter 16: PMDK Internals - Important Algorithms and Data Structures.- Chapter 17: Reliability, Availability and Serviceability.- Chapter 18: Remote Persistent Memory.- Chapter 19: Advanced Topics.- Appendix A: Installing NDCTL and DAXCTL on Linux.- Appendix B: Installing PMDK on Linux & Windows.- Appendix C: Installing IPMCTL on Linux and Windows.- Appendix D: Java for Persistent Memory.- Appendix E: The Future of Remote Persistent Memory Replocation.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Datenkommunikation, Netze & Mailboxen |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxxi
438 S. 104 s/w Illustr. 438 p. 104 illus. |
ISBN-13: | 9781484249314 |
ISBN-10: | 1484249313 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Scargall, Steve |
Auflage: | First Edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 254 x 178 x 26 mm |
Von/Mit: | Steve Scargall |
Erscheinungsdatum: | 10.01.2020 |
Gewicht: | 0,88 kg |