Top Tweets for #performanceMinute
#PerformanceMinute: What are the things that prevent the compiler for generating fast code? From the blog:
#PerformanceMinute: Does performance depend on the class size and member layout? From the blog:
#PerformanceMinute: Many times you can speed up your program through multithreading. From the blog:
#PerformanceMinute: Programs get many of their work done by asking favors from the operating system. From the blog:
#PerformanceMinute: Linked lists are very common data structures, but their performance is poor on modern hardware. From the blog:
#PerformanceMinute: Why are virtual method calls slower than non-virtual calls? From our blog:
#PerformanceMinute: Measure program runtime, but also run the program several times and measure runtime statistics and resource usage? Introducing multitime. From the blog:
#PerformanceMinute: A call to an STL algorithm is too slow? Checkout parallel STL algorithms. From the blog:
#PerformanceMinute: For the good performance of your program, you need to efficiently use the data cache. From the blog:
#PerformanceMinute: Why is parallelization important? And can your problem be made faster through parallelization. From the blog:
#PerformanceMinute: Virtual functions come with a performance price that you need to keep in mind when designing performance systems. From the blog:
#PerformanceMinute: Many programs are performance limited because they cannot get the data from the memory as soon as they need it. From the blog:
#PerformanceMinute: Memory layout is very important for fast access to binary trees, hash maps and linked lists. From the blog:
#PerformanceMinute: Almost all modern processors offer have hardware support for SIMD to speed up computations. But what is SIMD and how can it help you? From the blog:
#PerformanceMinute: Ideally, we want both flexible and fast code. But to have both of them, we need to pay attention to a few details. From the blog:
#PerformanceMinute: Some design choices in C++ STL can have a large impact for your program's performance. From the blog:
#PerformanceMinute: How does software performance goes in hand with software complexity? Or, when is the right time to worry about software performance. From the blog:
#PerformanceMinute: Sometimes your program is slow because it is spending a lot of time in kernel space. What is kernel space and how to determine if the program is slow because of this? From the blog:
#PerformanceMinute: Compilers are in charge of software optimizations. But not always! Introducing Link-Time Optimizations:
#PerformanceMinute: C++, when not used carefully, can perform a lot of excessive copying that slows down your program. Can you do something about it? From the blog:
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