> This doesn't even make sense. What is an example of something that can't be fast because it is done in C++? What "compatibility hacks" are slowing programs down?
Let's look at two very different perf leaks in ISO C++. Firstly move assignment which is right at the heart of the language. Initially C++ doesn't have move semantics at all, which is a problem because in a bunch of cases that's key to "extreme performance". So in the "lost decade" period between C++ 03 and C++ 11 considerable work was done to figure out a way to unlock this, but of course C++ insisted on backwards compatibility with the code written for C++ 98 with no such semantic.
The result is that the actual move semantic people wanted can't quite be done, this is now called "destructive move" and proponents of the compatible option C++ 11 and later had claim it's equivalent to the move they delivered, plus delete. But that's... disingenuous. The C++ 11 move is actually (move + create), so to build "destructive move", when that's what you need, you must write (move + create) + destroy. Sometimes the compiler can see what's happening here and emit the same machine code you'd get in a language with native move semantics, but sometimes it has no way to figure this out, and you're emitting move + create + destroy, which is markedly slower as well as of course being more error prone.
Secondly right up at the surface, where we can feel the rain, and appropriately something Bjarne Stroustrup (author of the book we're talking about here) has noticed himself, the provided growable array, std::vector lacks the bifurcated reservation. Vec::reserve_exact isn't enough, you need Vec::reserve as well for good performance with a growable array API, but C++ doesn't provide this, it provides only Vec::reserve_exact under the name "reserve" and there's no room to offer both in the compatible API, which means as a user/ application programmer this fundamental type is a small perf leak.
Bjarne shrugs this off, oh well, just don't use the reserve API to get performance
benefits. But everybody else can do so, this choice means C++ is leaving it on the table for somebody else with a better growable array type.
Finally though, I want to look at a beacon over the horizon, where "extreme performance" really is something they're thinking about. Iterator Loops (sometimes "Chunk Loops") are a technique where the language lets you directly express in your definition of a loop how it can be performed in a SIMD-fashion, so e.g. you write the code to search an N byte buffer for the byte you're looking for, but then revisit that loop and also write code for searching N=M*16 bytes, using 16 bytes at once. This lets you write, in a high level language, code which will be easy for a compiler to SIMD accelerate without fragile idiom recognition. C++ of course does not provide Iterator Loops and instead you'd reach for manual inline assembler in these cases today.