jit

Can someone provide an easy explanation of how 'Full Fences' are implemented in .Net using Threading.MemoryBarrier?

青春壹個敷衍的年華 提交于 2019-11-27 11:18:41
问题 I'm clear on the usage of MemoryBarrier, but not on what happens behind the scenes in the runtime. Can anyone give a good explanation of what goes on? 回答1: In a really strong memory model, emitting fence instructions would be unnecessary. All memory accesses would execute in order and all stores would be globally visible. Memory fences are needed because current common architectures do not provide a strong memory model - x86/x64 can for example reorder reads relative to writes. (A more

Possible shortcomings for using JIT with R?

南楼画角 提交于 2019-11-27 10:46:06
问题 I recently discovered that one can use JIT (just in time) compilation with R using the compiler package (I summarizes my findings on this topic in a recent blog post). One of the questions I was asked is: Is there any pitfall? it sounds too good to be true, just put one line of code and that's it. After looking around I could find one possible issue having to do with the "start up" time for the JIT. But is there any other issue to be careful about when using JIT? I guess that there will be

JIT vs NGen - what is the difference?

本小妞迷上赌 提交于 2019-11-27 10:30:27
问题 So when CLR runtime load a .NET assembly, it compiles it into machine native code. This process is called JITing. NGen is also the process of compiling .NET assembly into native code. I don't understand what is the difference between two? 回答1: The difference is when they occur. The JIT compilation occurs while your program is running. NGen is a typically done at installation time of your program and happens before your program is run. One of the goals of NGen is to remove the JIT penalty from

What are the advantages of just-in-time compilation versus ahead-of-time compilation?

ぃ、小莉子 提交于 2019-11-27 10:25:40
I've been thinking about it lately, and it seems to me that most advantages given to JIT compilation should more or less be attributed to the intermediate format instead, and that jitting in itself is not much of a good way to generate code. So these are the main pro-JIT compilation arguments I usually hear: Just-in-time compilation allows for greater portability. Isn't that attributable to the intermediate format? I mean, nothing keeps you from compiling your virtual bytecode into native bytecode once you've got it on your machine. Portability is an issue in the 'distribution' phase, not

Why shouldn't I use PyPy over CPython if PyPy is 6.3 times faster?

纵然是瞬间 提交于 2019-11-27 09:55:42
I've been hearing a lot about the PyPy project. They claim it is 6.3 times faster than the CPython interpreter on their site . Whenever we talk about dynamic languages like Python, speed is one of the top issues. To solve this, they say PyPy is 6.3 times faster. The second issue is parallelism, the infamous Global Interpreter Lock (GIL). For this, PyPy says it can give GIL-less Python . If PyPy can solve these great challenges, what are its weaknesses that are preventing wider adoption? That is to say, what's preventing someone like me, a typical Python developer, from switching to PyPy right

Do modern JavaScript JITers need array-length caching in loops?

自闭症网瘾萝莉.ら 提交于 2019-11-27 09:26:26
I find the practice of caching an array's length property inside a for loop quite distasteful. As in, for (var i = 0, l = myArray.length; i < l; ++i) { // ... } In my eyes at least, this hurts readability a lot compared with the straightforward for (var i = 0; i < myArray.length; ++i) { // ... } (not to mention that it leaks another variable into the surrounding function due to the nature of lexical scope and hoisting.) I'd like to be able to tell anyone who does this "don't bother; modern JS JITers optimize that trick away." Obviously it's not a trivial optimization, since you could e.g.

How to generate and run native code dynamically?

江枫思渺然 提交于 2019-11-27 09:19:37
问题 I'd like to write a very small proof-of-concept JIT compiler for a toy language processor I've written (purely academic), but I'm having some trouble in the middle-altitudes of design. Conceptually, I'm familiar with how JIT works - you compile bytecode into (machine or assembly?) code to run. At the nuts-and-bolts level however, I'm not quite gripping how you actually go about doing that. My (very "newb") knee-jerk reaction, since I haven't the first clue where to start, would be to try

Is it possible to write a JIT compiler (to native code) entirely in a managed .NET language

。_饼干妹妹 提交于 2019-11-27 08:59:28
问题 I'm toying with the idea of writing a JIT compiler and am just wondering if it is even theoretically possible to write the whole thing in managed code. In particular, once you've generated assembler into a byte array how do you jump into it to begin execution? 回答1: And for the full proof of concept here is a fully capable translation of Rasmus' approach to JIT into F# open System open System.Runtime.InteropServices type AllocationType = | COMMIT=0x1000u type MemoryProtection = | EXECUTE

Windows Phone 7 and native C++/CLI

牧云@^-^@ 提交于 2019-11-27 06:53:23
Microsoft recently released tools and documentation for its new Phone 7 platform, which to the dismay of those who have a big C++ codebase (like me) doesn't support native development anymore. Although I've found speculation about this decision being reversed, I doubt it. So I was thinking how viable would be to make this codebase available to Phone 7 by adapting it to compile under C++/CLI. Of course the user interface parts couldn't be ported, but I'm not sure about the rest. Anyone had a similar experience? I'm not talking about code that does heavy low-level stuff - but there's a quite

Does the .NET CLR JIT compile every method, every time?

与世无争的帅哥 提交于 2019-11-27 06:49:36
I know that Java's HotSpot JIT will sometimes skip JIT compiling a method if it expects the overhead of compilation to be lower than the overhead of running the method in interpreted mode. Does the .NET CLR work based upon a similar heuristic? Note: this answer is on a "per-run" context. The code is normally JITted each time you run the program. Using ngen or .NET Native changes that story, too... Unlike HotSpot, the CLR JIT always compiles exactly once per run. It never interprets, and it never recompiles with heavier optimisation than before based on actual usage. This may change, of course,