A list of book releases compiled by Dr. Dobb's to keep you up-to-date on parallel programming and multicore technology.
Programming Language Pragmatics
by Michael L. Scott
The author is currently a professor at the University of Rochester, NY, where is research has primarily addressed the design and implementation of systems software for parallel and distributed computing. He is best known for work in synchronization mechanisms for multithreaded systems, with a recent emphasis on transactional memory. Programming Language Pragmatics takes the perspective that language design and language implementation are tightly interconnected and that neither can be fully understood in isolation, this book has been thoroughly updated to cover the most recent developments in programming language design. With a new chapter on run-time program management and expanded coverage of concurrency, this new edition provides a solid understanding of the most important issues driving software development today.
Software Performance and Scalability: A Quantitative Approach
by Henry H. Liu
This book takes a quantitative approach to the subject of software performance and scalability. It brings together three unique perspectives to demonstrate how your products can be optimized and tuned for the best possible performance and scalability:
- The Basics—introduces the computer hardware and software architectures that predetermine the performance and scalability of a software product as well as the principles of measuring the performance and scalability of a software product
- Queuing Theory—helps you learn the performance laws and queuing models for interpreting the underlying physics behind software performance and scalability, supplemented with ready-to-apply techniques for improving the performance and scalability of a software system
- API Profiling—shows you how to design more efficient algorithms and achieve optimized performance and scalability, aided by adopting an API profiling framework (perfBasic) built on the concept of a performance map for drilling down performance root causes at the API level
Complemented with real-world case studies, it is a resource for software developers, quality and performance assurance engineers, architects, and managers.