Google loves easter eggs. It loves them so much, in fact, that you could find them in virtually every product of theirs. The tradition of Android easter eggs began in the very earliest versions of the OS (I think everyone there knows what happens when you go into the general settings and tap the version number a few times).

But sometimes you can find an easter egg in the most unlikely of places. There’s even an urban legend that one day, a programmer Googled “mutex lock”, but instead of search results landed on foo.bar, solved all tasks and landed a job at Google.


The same thing (except without the happy ending) happened to me. Hidden messages where there definitely couldn’t be any, reversing Java code and its native libraries, a secret VM, a Google interview — all of that is below.

As a platform, many enterprises are leveraging iOS to realize the amazing benefits of cloud computing. This is one aspect of digital transformation that has been rocking the entire industry in recent times. Generally, there is only a few internet-based development and deployment service performed on the platform that is not concerned with cloud application development. Nowadays, there is a growing population of iOS developers and app development companies that are steadily adopting cloud computing.

Span<T> usage examples

A human by nature cannot fully understand the purpose of a certain instrument until he or she gets some experience. So, let’s turn to some examples.

ValueStringBuilder

One of the most interesting examples in respect to algorithms is the ValueStringBuilder type. However, it is buried deep inside mscorlib and marked with the internal modifier as many other very interesting data types. This means we would not find this remarkable instrument for optimization if we haven’t researched the mscorlib source code.

What is the main disadvantage of the StringBuilder system type? Its main drawback is the type and its basis — it is a reference type and is based on char[], i.e. a character array. At least, this means two things: we use the heap (though not much) anyway and increase the chances to miss the CPU cash.

Another issue with StringBuilder that I faced is the construction of small strings, that is when the resulting string must be short e.g. less than 100 characters. Short formatting raises issues on performance.

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In the era of ubiquitous AI applications there is an emerging demand of the compiler accelerating computation-intensive machine-learning code for existing hardware. Such code usually does mathematical computation like matrix transformation and manipulation and it is usually in the form of loops. The SIMD extension of OpenMP provides users an effortless way to speed up loops by explicitly leveraging the vector unit of modern processors. We are proud to start offering C/C++ OpenMP SIMD vectorization in Visual Studio 2019.

The OpenMP C/C++ application program interface was originally designed to improve application performance by enabling code to be effectively executed in parallel on multiple processors in the 1990s. Over the years the OpenMP standard has been expanded to support additional concepts such as task-based parallelization, SIMD vectorization, and processor offloading. Since 2005, Visual Studio has supported the OpenMP 2.0 standard which focuses on multithreaded parallelization. As the world is moving into an AI era, we see a growing opportunity to improve code quality by expanding support of the OpenMP standard in Visual Studio. We continue our journey in Visual Studio 2019 by adding support for OpenMP SIMD.