I'll be giving two talks at the ACCU Conference in Oxford, England, in April:
The ACCU Conference has a great reputation, and based on my experience there last time, I can pretty much guarantee an event that's both technically solid and extremely entertaining. I hope to see you there!
Scott
Monday, January 24, 2011
Tuesday, January 4, 2011
New Training Course: "Fastware for C++"
I've been working intermittently on a book to be called Fastware! for the past few years. (You can find information about it at its web site.) That project is currently on the back burner, because I ran into two difficulties. First, I realized that the scope of the project -- encompassing topics in hardware, systems design, concurrency (both thread-based and distributed), algorithms, data structures, tools for improving performance, and more -- was not only going to be impossible to fit within 300 pages, it was also probably beyond my ability to fully comprehend. Second, the fact that the book was to be language-independent meant that I'd be unable to push my technical treatments down to the level of detail that I and my readers are accustomed to.
These challenges interfered with my work on the book, but they did nothing to diminish my interest in the production of low-latency software systems, so I decided that a reasonable alternative approach was to take my long-established High-Performance C++ Programming training course, update it to acknowledge the emergence of compilers supporting features from C++0x, and expand it to include selected performance topics beyond C++ and its standard library. The result is a new two-day training course that draws heavily on my original vision for Fastware! while still assuming that C++ is the implementation language: Fastware for C++.
Fastware for C++ covers hard-core C++ performance-related information such as how to avoid the creation of unnecessary objects and how to use the STL efficiently, but it also covers the impact of CPU caches on data structure and algorithm design, the need to optimize the performance of code you don't control (e.g., third-party libraries), commonly-available concurrent algorithms and data structures modeled on the STL, build-time optimization via profile-guided and whole-program analyses, and more. For details, consult the course's web page, and if you're interested in technical training on low-latency software systems in C++, I hope you'll keep it in mind.
Scott
These challenges interfered with my work on the book, but they did nothing to diminish my interest in the production of low-latency software systems, so I decided that a reasonable alternative approach was to take my long-established High-Performance C++ Programming training course, update it to acknowledge the emergence of compilers supporting features from C++0x, and expand it to include selected performance topics beyond C++ and its standard library. The result is a new two-day training course that draws heavily on my original vision for Fastware! while still assuming that C++ is the implementation language: Fastware for C++.
Fastware for C++ covers hard-core C++ performance-related information such as how to avoid the creation of unnecessary objects and how to use the STL efficiently, but it also covers the impact of CPU caches on data structure and algorithm design, the need to optimize the performance of code you don't control (e.g., third-party libraries), commonly-available concurrent algorithms and data structures modeled on the STL, build-time optimization via profile-guided and whole-program analyses, and more. For details, consult the course's web page, and if you're interested in technical training on low-latency software systems in C++, I hope you'll keep it in mind.
Scott
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