This was true even when the C compiler used the same code generator and optimizer as the Fortran compiler. If you spend equal amounts of money to develop a high-performance algorithm in ECMAScript, a high-performance implementation of ECMAScript, a high-performance operating system designed for ECMAScript, a high-performance CPU designed for ECMAScript as has been spent over the last decades to make C-like languages go fast, then you will likely see equal performance. All compilers care about performance of the compiler itself, not just of the generated code. Generally, the performance of these bytecode systems is somewhere between interpreted ones and compiled ones. Indeed, making use of instructions like SSE and AVX is a challenge even for AOT compilers, in spite of their lack of time constraints. If the language has automatic memory management, its implementation has to perform garbage collection. However, it generally can't compete with conventional ahead-of-time compilation. "Microsoft probably employs more people making coffee for their compiler programmers than the entire PHP, Ruby, and Python community combined has people working on their VMs" I suppose that depends on how far you're willing to stretch the term "compiler programmer" and how much you're including with that (Microsoft develops a. However, for languages with a high degree of runtime polymorphism (e.g. If the arrays overlap then there's no right way to process the data, so it's bad luck that the optimizations can't be used. I would disagree with the comment about resources. Microservice that fetches data from REST repository endpoints on Github. All you need to do is make sure Python is installed on the computer you wish to run the script. I'm not sure if this answer the question of "memory management", but I just want to point out that Visual Studio IDE can take up lots of resources when running it, and thus slow down the overall "speed of programming". If languages are different enough, they don't have "code which does exactly the same". C doesn't really let functions have arrays as inputs (or, for that matter, outputs). As a consequence, code written in different languages can have different performance because of differences in their compilers, even if there is no fundamental reason why one language should be faster or even easier to optimize than the other. In practice, there are several reasons why the performance is going to be different: This includes especially features that make code more dynamic (dynamic typing, virtual methods, function pointers), but also for example garbage collection. There isn't much resources needed to develop and execute C++ program even with the IDE, they are consider very light weight and very fast. It's just that, at this time, much more money has been spent making C-like languages fast than making ECMAScript-like languages fast, and the assumptions of C-like languages are baked into the entire stack from MMUs and CPUs to operating systems and virtual memory systems up to libraries and frameworks. You can also write C++ code in console and develop a game from there. C# and Java are almost always going to be compiled to bytecode and then JIT compiled at runtime. This kind of function is also amenable to being made multithreaded: if you have four cores, then one core can add the first quarter of the array, the next the next quarter, and so on. Why didn't Crawling Barrens grow larger when mutated with my Gemrazer? and act accordingly. This is a very general question, but in your case the answer could be simple. Language implementations intentionally spend less time on optimizations than they could. - May 11, 2014 7:00 pm UTC. So in the long run, you can do programming faster with C++ type of IDE compare with .Net IDE which heavily depending on libraries and framework. Unfortunately, like most language-specific CPUs, its design was simply out-spent and out-brute-forced by the "giants" Intel, AMD, IBM, and the likes. Join the Ars Orbital Transmission mailing list to get weekly updates delivered to your inbox. The IDE (I assume you are referring to Visual Studio) is NOT required, although it sure helps with any sizable project (Intellisense, debugger, etc etc). This allows all kinds of optimizations. This in-memory representation is then used to drive a code generator, the part that produces executable code. The bytecode is easier to JIT compile and optimize at runtime, giving an advantage over interpreters, but it still doesn't enable the same optimization effort as the compiler. Is it ok to place 220V AC traces on my Arduino PCB?


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