124 lines
6.0 KiB
HTML
124 lines
6.0 KiB
HTML
{% extends "_layout.html" %}
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{% block title %}jbigi{% endblock %}
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{% block content %}
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Updated August 2011, current as of router version 0.8.7
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<h2>Overview</h2>
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<p>Using JNI (Java Native Interface), a bit of C code (thanks ugha!), a little
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manual work and a piece of chewing gum we have made several
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cryptography operations quite a bit faster.</p>
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<p>
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The speedup comes from the super-fast
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<a href="http://gmplib.org/">GNU MP Bignum library (libgmp)</a>.
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We use a single function from libgmp -
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<a href="http://gmplib.org/manual-4.3.2/Integer-Exponentiation.html#Integer-Exponentiation">mpz_powm()</a>
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as a replacement for the
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<a href="http://download.oracle.com/javase/1.5.0/docs/api/java/math/BigInteger.html#modPow%28java.math.BigInteger,%20java.math.BigInteger%29">Java Math library's BigInteger modPow()</a>.
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As modPow() is a significant computational portion of many crypto operations, this is of significant benefit.
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</p>
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<p>
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The standard I2P installation includes about 20 versions of the library for different platforms,
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each about 50KB, inside the jbigi.jar file.
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The initialization of the JBigI library, including CPU identification, selection, and extraction
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of the correct loadable module, is handled by the
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<a href="http://docs.i2p-projekt.de/javadoc/net/i2p/util/NativeBigInteger.html">NativeBigInteger class</a>.
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If no module is available for the current platform, the standard
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<a href="http://download.oracle.com/javase/1.5.0/docs/api/java/math/BigInteger.html#modPow%28java.math.BigInteger,%20java.math.BigInteger%29">Java Math library's BigInteger modPow()</a>
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is used.
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</p>
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<h2>Rebuilding and Testing JBigI</h2>
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Following are the instructions to build a new jbigi library for your own platform
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and testing its performance.
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<h3>Requirements</h3>
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<p>This works on Linux, and with a few changes in build.sh probably also on
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other platforms. FreeBSD has also been reported to work too. On Kaffee the
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speedup is very small, because it already uses native BitInteger internally.
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Blackdown seems to cause strange errors. Because you are going to do
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compilation, you need JDK; JRE won't work.</p>
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<p>The required code is available in monotone database and the latest source tarball.</p>
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<p>The GNU MP Bignum library (libgmp) needs to be installed, if it isn't
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included in your OS / distribution or installed already, it can be received from
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<a href="http://gmplib.org/#DOWNLOAD">http://gmplib.org/#DOWNLOAD</a>. Even if you
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have already installed it as binary, it might still be worth a try to compile
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GMP yourself, since then it will be able to use the specific instructions of
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your processor. The latest GMP may also
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be used instead of GMP 5.0.2, but it hasn't been tested by us.
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</p>
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<h3>Step-by-step instructions</h3>
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<ol>
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<li>Look at <a href="http://localhost:7657/logs.jsp">your running environment on the logs.jsp page</a>.
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There should be one of two status messages for JBigI - either
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<tt>
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Locally optimized native BigInteger loaded from the library path
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</tt>
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or
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<tt>
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Native BigInteger library jbigi not loaded - using pure java</tt>.
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If the native BitInteger library was NOT loaded, you definitely need to
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compile your own.
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Certain platforms, such as OS X, OpenSolaris, and 64-bit systems,
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may require you to compile your own library.
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If the BigInteger library was loaded, do at least the next step to see
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what your performance is.
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</li>
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<li>Look on <a href="http://localhost:7657/stats.jsp">http://localhost:7657/stats.jsp</a>
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to see what the lifetime average values for <code>crypto.elGamal.decrypt</code> and
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<code>crypto.elGamal.encrypt</code> are. The numbers are times in milliseconds. Copy these somewhere so you can compare
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them later on.
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The network average for encrypt time is about 20ms.
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If your encrypt time is less than 50ms for a relatively new processor, or less than 100ms
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for an older processor, and the native BigInteger library was loaded, you are probably fine.
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</li>
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<li>Get the latest released source code of I2P from
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<a href="download.html">the download page</a>, or get the cutting-edge source
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out of the monotone database mtn.i2p2.de</li>
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<li>Inside the source tree change directory to: <code>core/c/jbigi</code></li>
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<li>Read the README file.
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If you have a /usr/lib/libgmp.so file, you do not have to download GMP.
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Use the 'dynamic' argument to build.sh.
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Otherwise, you must download GMP version 5.0.2 from
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from <a href="http://gmplib.org/#DOWNLOAD">http://gmplib.org/#DOWNLOAD</a>, saving it to gmp-5.0.2.tar.bz2.
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If you decide to use a newer version, change the VER= line in <code>core/c/jbigi/build.sh</code>.
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<li>Take a look at <code>build.sh</code>, if your <code>JAVA_HOME</code>
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environment variable is set and you are using Linux then it might just work.
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Otherwise change the settings. Remember, you need the Java SDK installed.</li>
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<li>Run <code>build.sh</code> (if you downloaded GMP) or
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<code>build.sh dynamic</code> (if you have /usr/lib/libgmp.so).<br/>
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Maybe the build spewed out some errors of missing jni.h and jni_md.h files.
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Either copy these files from your java install into the core/c/jbigi/jbigi/include/ directory,
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or fix $JAVA_HOME.<br>
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You can run the <code>build.sh</code> from the <code>core/c/</code> directory which will
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build all available jbigi libs into a jbigi.jar.</br>
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A file named <code>libjbigi.so</code> should be created in the current
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directory. If this doesn't happen and/or you get errors then please report
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them.</li>
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<li>Follow the instructions in core/c/README to install the library and run
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the speed test.
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Read the final lines of the speed test's output for some additional
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info, it will be something like this:
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<pre>
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native run time: 5842ms ( 57ms each)
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java run time: 41072ms (406ms each)
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native = 14.223802103622907% of pure java time
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</pre>
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If the native is indeed 5-7x faster (or more) then it looks all good. If not, please
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report.</li>
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<li>Copy <code>libjbigi.so</code> to your i2p directory</li>
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<li>Restart your I2P programs.</li>
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<li>On
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<a href="http://localhost:7657/stats.jsp">http://localhost:7657/stats.jsp</a>
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the <code>crypto.elGamal.decrypt</code> and <code>crypto.elGamal.encrypt</code>
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should be a lot faster.</li>
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</ol>
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{% endblock %}
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