Linked by Thom Holwerda on Sat 8th Oct 2005 18:40 UTC, submitted by anonymous
Java Programmers agonize over whether to allocate on the stack or on the heap. Some people think garbage collection will never be as efficient as direct memory management, and others feel it is easier to clean up a mess in one big batch than to pick up individual pieces of dust throughout the day. This article pokes some holes in the oft-repeated performance myth of slow allocation in JVMs.
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"Yes, Java is so fast that it can outperform C++ only in controlled lab environments. Yeah right, welcome to the real world!"

Yes. I will tell you about the real world. In the real world, Java is mostly used for server applications that do 100% duty cycle, where startup time is not important, and where the JIT can work its magic. In the real world, these types of applications are horribly unsuited to C++, and are also dangerous to write in C++. In the real world, speed of development and security are usually more important than squeezing out a slight improvement in performance, even if such an improvement is possible. C++ has neither speed of development, or security. In the real world other common options for server side application development, such as Perl, are 10 to 15 times slower than Java. PHP fairs even worse than Perl when it comes to performance.

"Not only the benchmarks speak, the real world examples speak as well. Java is at this time no performance match for any traditional compiled language."

Incorrect. For most common operations, there is virtually no speed difference these days beween that operation performed in C++ and that operation performed in Java, once the JIT has been allowed to work its magic. Again, the main problem right now is that JIT optmizations are not persistant across program executions. This is detrimental on the desktop, but of no consequence on servers. However, that will be changing as well, Persistant JIT optimizations are on Sun's to do list.

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