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About the Book
Memory Thinking for Rust reviews memory-related topics from the perspective of software structure and behavior analysis and teaches Rust language aspects in parallel while demonstrating relevant code internals on Windows (x64) and Linux (x64 and ARM64) platforms:
- Relevant language constructs
- Memory layout of structures
- References, ownership, borrowing, and lifecycle
- Unsafe pointers
- Local, static, and dynamic memory
- Functions, closures
- Object-oriented and functional features
- Windows and Linux specifics
- … and much more
The book contains slides, brief notes highlighting particular points, and related source code with execution output. The following audiences may benefit from the book:
- Rust developers who want to deepen their knowledge
- Non-C and C++ developers (for example, Java, Scala, Python) who want to learn more about pointer and reference internals
- C and C++ developers who want to port their memory thinking to Rust quickly
About the Author
Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He is the founder of pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics), and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering and malware analysis. He has more than 25 years of experience in software architecture, design, development and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, Software Diagnostics Technology and Services (former Memory Dump Analysis Services), and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.