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This is not directly a question regarding Prolog code, but rather about installing, administrating, and updating Prolog implementations...
Ideally, what I want to have on my machine is:
As many different Prolog implementations as possible
At all times, the most current (development) versions should be available
I might also want to have 2 or more versions side by side (stable / development)
A minimum overhead for installation, administration, etc.
I want to choose which Prolog implementation I use today after I start my machine up.
What can I do? What have you tried in this respect? I run Linux. Thank you in advance!
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I've googled for a while and the only useful infos are:
github.com/barnex/cuda5
mumax.github.io/
Unfortunately, the latest Arch Linux only provides CUDA 7.5 package, so the barnex's project may be not supported.
Arne Vansteenkiste recommends concurrency rather than pure Golang or Golang plus CUDA. What's more, there's someone says the same idea that "Wouldn't it be cool to start a goroutine on a GPU and communicate with it via channels?". I think both of these ideas are wonderful since I would like to change the existing code as little as possible instead of refactoring the whole program. Is the idea possible, or is there some documents introducing this topic in details?
Update
It seems that there's two bindings to HPC in Golang:
CUDA (< 6.0): github.com/barnex/cuda5
OpenCL: github.com/rainliu/gocl
Both of them are less documented, currently what I got is only Macro13's answer, very helpful, but it's more about java . So please help me some detailed materials in Golang. Thanks!
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Just wondering if anyone could point me in the right direction for documentations that specifies what a Window application's file footprint is?
More specifically, I am looking for a documentation that specifies what registry files (and which hive) and files/directories must be created when an application is installed.
#Raymond Chen is totally right, however, there are some pretty common places to put things in the registry\file system based on the programs needs. I.E. Does it start on login or start up? It really depends on how the program interfaces with Windows. Hopefully that points you in the right direction.
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Is there a standard way to share state-machines (that is share the machine and synchronize it's state) between two languages? I'm using the state_machine gem on a server and I need to synchronize the machine with another server that will be written in another language. Is there a standard way of accomplishing this so that I can maximize compatibility despite not knowing the other language? At this point, I'm thinking I'm just going to make my own "protocol" built with REST requests and sharing the initial machine structure using serialization.
I would accept "there is no standard way" as an answer.
There is no standard way for doing that ...
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Any specific reasons would be nice too.
As some people have pointed out; Java is translated into Bytecode, which runs in JVM. Are there any which don't depend on a virtual machine? Historical or contemporary, obsolete or not.
As already pointed out, portable ByteCode is platform independent,
you can find a List of ByteCode Languages on eg. wikipedia.
But they depend on an Interpreter or a Virtual Machine, ie. JVM.
And there is also LLVM, which provides a middle layer in an intermediate form (IF).
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All,
I am proposing the addition of code obfuscation to the standard build process at my organization. One of the questions being asked is whether there is a performance hit to running obfuscated code vs. running unobfuscated code.
What is your experience? Have you seen a reduction in performance at runtime because you obfuscated your Java or C# code?
Thanks,
VI
It depends on how you are obfuscating it. If you use one of the tools that replaces all the names of objets and functions, then there should be no change at all. The compilers don't care what you call anything, whether it's useful to a developer (fetchProjects()) or just (funcA()).
You may wish to read about my over-obfuscation experiments: Impact of Flow Obfuscation on Performance.