jit

When we remote a method (that is using generics) the remoting sink cannot seem to discover our method from the other identical named ones. Debugging with .net source code attached I've got it to where there is a MethodInfo.MakeGenericMethod call. However I cannot look at any of the surrounding data as its been jit optimised. I couple of weeks ago I came across a registry setting that would disable this setting (it specifically mentioned that it aid debugging with the source). However being a wally I've lost what I did with it and am having trouble finding it again. I don't know about a

I recently came across this interesting term and searched on Net to know more about it. However the info I found is sketchy. Could someone pl. give me a somewhat detailed explanation of what this is and why is this useful? From the info I found, it looks like this mechanism makes reflective method execution faster, at the expense of creating a lot of dynamic classes and hogging perm gen memory area, but I'm not sure about it. shrini1000 Did some source code digging and coding myself to figure this out, and here's what I've found out: Java's 'Method' class has a member variable 'methodAccessor'

In a lecture about JIT in Hotspot I want to give as many examples as possible of the specific optimizations that JIT performs. I know just about "method inlining", but there should be much more. Give a vote for every example. Well, you should scan Brian Goetz's articles for examples. In brief, HotSpot can and will: Inline methods Join adjacent synchronized blocks on the same object Eliminate locks if monitor is not reachable from other threads Eliminate dead code (hence most of micro-benchmarks are senseless) Drop memory write for non- volatile variables Replace interface calls with direct

Why does the order in which C# methods in .NET 4.0 are just-in-time compiled affect how quickly they execute? For example, consider two equivalent methods: public static void SingleLineTest() { Stopwatch stopwatch = new Stopwatch(); stopwatch.Start(); int count = 0; for (uint i = 0; i < 1000000000; ++i) { count += i % 16 == 0 ? 1 : 0; } stopwatch.Stop(); Console.WriteLine("Single-line test --> Count: {0}, Time: {1}", count, stopwatch.ElapsedMilliseconds); } public static void MultiLineTest() { Stopwatch stopwatch = new Stopwatch(); stopwatch.Start(); int count = 0; for (uint i = 0; i <

I am really struggling to understand the following thing Previously I know: When a Java program is compiled .class file will be generated. In that code is in the form of bytes. Then the JVM will translate that byte code into machine understandable format. Now I see in one of the questions in SO A Just-In-Time (JIT) compiler is a feature of the run-time interpreter, that instead of interpreting bytecode every time a method is invoked, will compile the bytecode into the machine code instructions of the running machine So here JIT is converting the bytecode to machine instructions. Then what is

I was thinking that JIT compilers will eventually beat AOT compilers in terms of the performance of the compiled code, due to the inherent advantage of JIT (can use information available only at runtime). One argument is that AOT compilers can spend more time compiling code, but a server VM could spend a lot of time, too. I do understand that JIT does seem to beat AOT compilers in some cases, but they still seem to lag behind in most cases. So my question is, what are the specific, tough problems that is preventing JIT compilers to beat AOT compilers? EDIT: Some common arguments: AOT compilers

When I read about the performance of JITted languages like C# or Java, authors usually say that they should/could theoretically outperform many native-compiled applications. The theory being that native applications are usually just compiled for a processor family (like x86), so the compiler cannot make certain optimizations as they may not truly be optimizations on all processors. On the other hand, the CLR can make processor-specific optimizations during the JIT process. Does anyone know if Microsoft's (or Mono's) CLR actually performs processor-specific optimizations during the JIT process?